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Fit Sigma

By Ron Basu
  • Writer : Ron Basu
  • Isbn : 1119973724
  • Publisher : John Wiley & Sons
  • Number of Pages : 256
  • Category : Business & Economics
  • Review Counts : 746
  • Book Compatibility : Pdf, ePub, Mobi, Kindle
  • Pdf : fit-sigma.pdf

Summaries of Book :

To some, the near perfection of the Six Sigma management system appears to be an impossible ideal, especially for small and medium enterprises. FIT SIGMATM, a flexible and more sustainable approach, was developed through the integration of the ‘hard' Six Sigma approach with Lean Enterprise philosophy. It consists of three elements; fitness for purpose, fitness for improvement and integration, and fitness for sustainability. FIT SIGMA: A Lean Approach to Building Sustainable Quality Beyond Six Sigma shows how this tripartite approach can be used to add value to both large and small organisations through improved use of resources, and through the provision of improved customer satisfaction. It shows that a holistic approach to operational excellence underpinned by a data driven methodology can be applied equally to the manufacturing, service or public sectors. As the Six Sigma philosophy has evolved in recent years to take into account new challenges faced by companies, including climate change, green supply chain, emerging markets and a growing service sector, so FIT SIGMATM has also adapted itself to these new demands. FIT SIGMA: A Lean Approach to Building Sustainable Quality Beyond Six Sigma covers key developing areas including: Sustainability and Environment Non-profit organizations Service Operations Supply Chain Management Project Management Emerging Markets Small and Medium Enterprises Green Thinking Each chapter contains practical implementation guide, illustrative examples and case studies, and concludes with a summary of key elements for ease of reference and revision. In addition the book includes a comprehensive glossary of common terms and phrases used in managing quality, along with an appendix which illustrates the applications of basic statistics in Six Sigma and Fit Sigma.

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  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Routledge
  • Isbn Code : 1317101499
  • Number of Pages : 256
  • Category : Business & Economics
  • Reviews : 236
  • Pdf File: managing-projects-in-research-and-development.pdf

Book Excerpt:

Research and Development is the vehicle by which organizations and economies create opportunity, innovation and secure a stream of future products and services.These outcomes are all critically important sources of sustainability in a world that is changing faster than most companies can keep up.The challenge behind them is the fundamental unpredictability of R&D; which is why effective project management is so important. Ron Basu's Managing Projects in Research and Development explains how and why project management can provide a means of helping to plan, organise and control multi-disciplinary research activities without stifling innovation. Combining research with practical examples and experience from a career that has included blue chip organizations such as GSK, GlaxoWellcome and Unilever, Ron Basu offers a rigorous guide to the fundamentals of R&D project management including project lifecycle management, risk management, cost, time quality and other success measures as well as the keys to operational excellence in this complicated world.

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  • File : Pdf, ePub, Mobi, Kindle
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  • Isbn Code : 1468444034
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  • Pdf File: computers-in-critical-care-and-pulmonary-medicine.pdf

Book Excerpt:

The third international symposium on Critical Care and Pulmonary Medicine was held in Norwalk Hospital, Yale University School of Medicine in June 1981. This publication contains the majority of papers that were presented at the three day conference. The book deals with the use of computers in: (1) monitoring (2) pulmonary laboratory (3) anesthesia (4) database management. Extraordinary progress in the use of computers in critical care medicine and pulmonary function testing is evident in the presen tations. I would like to thank the members of the Steering Committee and the International Advisory Committee for their efforts in bring ing together many leaders in the field, and enriching the symposium with their own contributions. My special thanks to Mr. Norman Brady, President of the Norwalk Hospital, for his generous hospitality and his untiring assistance during the three days of the symposium. I would also like to thank Martin H. Floch, M.D., Chairman of the Department of Medicine, Norwalk Hospital, for his advice and support. I sincerely appreciate the cooperation and help from the members of the Section of Pulmonary Medicine and Medical Computer Science of the Norwalk Hospital. Finally I would like to thank Ms. Nancy Smith for the excellent work in the preparation of the manuscripts, and the staff of the Plenum Press for their help in publishing this volume.

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  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : CRC Press
  • Isbn Code : 1000215199
  • Number of Pages : 206
  • Category : Computers
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  • Pdf File: a-tour-of-data-science.pdf

Book Excerpt:

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. Key features: Allows you to learn R and Python in parallel Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools – data.table and pandas Provides a concise and accessible presentation Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc. Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.

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  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : CRC Press
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  • Number of Pages : 384
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  • Pdf File: smoothing-splines.pdf

Book Excerpt:

A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, from medicine to economics. Smoothing Splines: Methods and Applications covers basic smoothing spline models, including polynomial, periodic, spherical, thin-plate, L-, and partial splines, as well as more advanced models, such as smoothing spline ANOVA, extended and generalized smoothing spline ANOVA, vector spline, nonparametric nonlinear regression, semiparametric regression, and semiparametric mixed-effects models. It also presents methods for model selection and inference. The book provides unified frameworks for estimation, inference, and software implementation by using the general forms of nonparametric/semiparametric, linear/nonlinear, and fixed/mixed smoothing spline models. The theory of reproducing kernel Hilbert space (RKHS) is used to present various smoothing spline models in a unified fashion. Although this approach can be technical and difficult, the author makes the advanced smoothing spline methodology based on RKHS accessible to practitioners and students. He offers a gentle introduction to RKHS, keeps theory at a minimum level, and explains how RKHS can be used to construct spline models. Smoothing Splines offers a balanced mix of methodology, computation, implementation, software, and applications. It uses R to perform all data analyses and includes a host of real data examples from astronomy, economics, medicine, and meteorology. The codes for all examples, along with related developments, can be found on the book’s web page.

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  • File : Pdf, ePub, Mobi, Kindle
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  • Number of Pages : 300
  • Category : Business & Economics
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  • Pdf File: technology-development.pdf

Book Excerpt:

Developing new products, services, systems and processes has become an imperative for any firm expecting to thrive in today’s fast-paced and hyper-competitive environment. This volume integrates academic and practical insights to present fresh perspectives on new product development and innovation, showcasing lessons learned on the technological frontier. The first part emphasizes decision making. The second part focuses on technology evaluation, including cost-benefit analysis, material selection and scenarios. The third part features in-depth case studies to present innovation management tools, such as customer needs identification, technology standardization and risk management. The fourth part highlights important international trends, such as globalization and outsourcing. Finally the fifth part explores social and political aspects.

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  • Publisher : Springer Science & Business Media
  • Isbn Code : 9784431734642
  • Number of Pages : 236
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  • Pdf File: fatigue-science-for-human-health.pdf

Book Excerpt:

To provide a forum for discussion, the International Conference on Fatigue Science was organized, the first being held in 2002 in Sandhamn, Sweden, and the second in 2005 in Karuizawa, Japan. Subsequently it was decided that the papers presented at the two conferences should be collected. The result is an authoritative guide to recent progress in the molecular and neural mechanisms of fatigue and in the development of the ways to prevent and overcome fatigue and chronic fatigue.

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  • Pdf File: environmental-planning-and-management.pdf

Book Excerpt:

This book focuses on environmental planning and management. Environmental problems are not purely scientific; some of the major problems deal with poor management and the inability to involve people in environmental decision making process. The approach taken in this book is to review environmental problems as they are affected by poor planning and management. Understanding of management issues involved will help to get top management to buy into environmental management. The tendency is for top management to view environmental management efforts as expensive and wasteful to an organization. However, when top management is exposed to the high cost of doing nothing and the lack of competitiveness as a result of poor environmental quality, it is more likely to buy into the idea of environmental quality and work towards achieving sustainable goals. Contents:Introduction to Environmental Planning and ManagementSustainable ManufacturingEnvironmentally Conscious ManufacturingThe ISO 14000 ModelEnvironmental PlanningLife Cycle AssessmentDesign for the Environment — Part IDesign for the Environment — Part IIManufacturing Strategies: Agile, Lean and Flow ManufacturingEnvironmental Risk Assessment and ManagementCompeting on Environmental Management Readership: Professionals in environmental planning, graduate students majoring in environmental sciences. Keywords:Environmental Management;Environmental Planning;Sustainable Development;Environmental QualityKey Features:Focuses on the management side of environmental issuesInvestigates different strategies that successful companies have adoptedShows how companies can become competitive by excelling in environmental effortsPresents challenges that may be faced in environmental management

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  • Number of Pages : 576
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  • Pdf File: analysis-of-financial-time-series.pdf

Book Excerpt:

Provides statistical tools and techniques needed to understandtoday's financial markets The Second Edition of this critically acclaimed text provides acomprehensive and systematic introduction to financial econometricmodels and their applications in modeling and predicting financialtime series data. This latest edition continues to emphasizeempirical financial data and focuses on real-world examples.Following this approach, readers will master key aspects offinancial time series, including volatility modeling, neuralnetwork applications, market microstructure and high-frequencyfinancial data, continuous-time models and Ito's Lemma, Value atRisk, multiple returns analysis, financial factor models, andeconometric modeling via computation-intensive methods. The author begins with the basic characteristics of financialtime series data, setting the foundation for the three maintopics: Analysis and application of univariate financial timeseries Return series of multiple assets Bayesian inference in finance methods This new edition is a thoroughly revised and updated text,including the addition of S-Plus® commands and illustrations.Exercises have been thoroughly updated and expanded and include themost current data, providing readers with more opportunities to putthe models and methods into practice. Among the new material addedto the text, readers will find: Consistent covariance estimation under heteroscedasticity andserial correlation Alternative approaches to volatility modeling Financial factor models State-space models Kalman filtering Estimation of stochastic diffusion models The tools provided in this text aid readers in developing adeeper understanding of financial markets through firsthandexperience in working with financial data. This is an idealtextbook for MBA students as well as a reference for researchersand professionals in business and finance.

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  • File : Pdf, ePub, Mobi, Kindle
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  • Isbn Code : 1315464357
  • Number of Pages : 290
  • Category : Business & Economics
  • Reviews : 730
  • Pdf File: further-advances-in-project-management.pdf

Book Excerpt:

Projects are ubiquitous to modern society, yet, concerns around successful delivery, value realisation, resilience and making change stick force a significant re-evaluation of the scope and extent of the ‘normal’ project discourse. The common thread for all of this is around capabilities, skills, attitudes, values and perspectives that are needed for successful delivery and the sustained realisation of interest, relationships, benefit, value and impact. The chapters collated in this volume bring together leading authorities on topics that are relevant to the management, leadership, governance and delivery of projects. Topics include people, communication, ethics, change management, value realisation, benefits, complexity, decision-making, project assurance, communication, knowledge management, big data, project requirements, business architecture, stakeholder engagement, strategy, users, systems thinking and resilience. The main aims of the collection are to reflect on the state of practice within the discipline; to propose new extensions and additions to good practice; to offer new insights and perspectives; to distil new knowledge; and to provide a way of sampling a range of the most promising ideas, perspectives and styles of writing from some of the leading thinkers and practitioners in the discipline.

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  • Pdf File: bayesian-data-analysis-in-ecology-using-linear-models-with-r-bugs-and-stan.pdf

Book Excerpt:

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions—including all R codes—that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types. Introduces Bayesian data analysis, allowing users to obtain uncertainty measurements easily for any derived parameter of interest Written in a step-by-step approach that allows for eased understanding by non-statisticians Includes a companion website containing R-code to help users conduct Bayesian data analyses on their own data All example data as well as additional functions are provided in the R-package blmeco

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  • Pdf File: measurement-of-the-inclusive-electron-cross-section-from-heavy-flavour-decays-and-search-for-compressed-supersymmetric-scenarios-with-the-atlas-experiment.pdf

Book Excerpt:

The first part of this thesis presents the measurement of the inclusive cross-section for electron production from heavy-flavour decays in the electron transverse momentum range 7 GeV

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  • Pdf File: probing-galaxy-evolution.pdf

Book Excerpt:

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  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Routledge
  • Isbn Code : 1351414232
  • Number of Pages : 624
  • Category : Mathematics
  • Reviews : 576
  • Pdf File: statistical-models-in-s.pdf

Book Excerpt:

Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research department at AT&T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.

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  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer Science & Business Media
  • Isbn Code : 0387217630
  • Number of Pages : 632
  • Category : Business & Economics
  • Reviews : 660
  • Pdf File: modeling-financial-time-series-with-s-plus.pdf

Book Excerpt:

The field of financial econometrics has exploded over the last decade This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. This Second Edition is updated to cover S+FinMetrics 2.0 and includes new chapters on copulas, nonlinear regime switching models, continuous-time financial models, generalized method of moments, semi-nonparametric conditional density models, and the efficient method of moments. Eric Zivot is an associate professor and Gary Waterman Distinguished Scholar in the Economics Department, and adjunct associate professor of finance in the Business School at the University of Washington. He regularly teaches courses on econometric theory, financial econometrics and time series econometrics, and is the recipient of the Henry T. Buechel Award for Outstanding Teaching. He is an associate editor of Studies in Nonlinear Dynamics and Econometrics. He has published papers in the leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics and Statistics. Jiahui Wang is an employee of Ronin Capital LLC. He received a Ph.D. in Economics from the University of Washington in 1997. He has published in leading econometrics journals such as Econometrica and Journal of Business and Economic Statistics, and is the Principal Investigator of National Science Foundation SBIR grants. In 2002 Dr. Wang was selected as one of the "2000 Outstanding Scholars of the 21st Century" by International Biographical Centre.

Foundations of Statistics for Data Scientists

By Alan Agresti,Maria Kateri
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : CRC Press
  • Isbn Code : 1000462919
  • Number of Pages : 486
  • Category : Business & Economics
  • Reviews : 263
  • Pdf File: foundations-of-statistics-for-data-scientists.pdf

Book Excerpt:

Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modeling. The book assumes knowledge of basic calculus, so the presentation can focus on "why it works" as well as "how to do it." Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python. The book also introduces modern topics that do not normally appear in mathematical statistics texts but are highly relevant for data scientists, such as Bayesian inference, generalized linear models for non-normal responses (e.g., logistic regression and Poisson loglinear models), and regularized model fitting. The nearly 500 exercises are grouped into "Data Analysis and Applications" and "Methods and Concepts." Appendices introduce R and Python and contain solutions for odd-numbered exercises. The book's website has expanded R, Python, and Matlab appendices and all data sets from the examples and exercises.

Computational Physics

By Steven E. Koonin
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  • Publisher : CRC Press
  • Isbn Code : 0429973659
  • Number of Pages : 656
  • Category : Science
  • Reviews : 434
  • Pdf File: computational-physics.pdf

Book Excerpt:

Computational Physics is designed to provide direct experience in the computer modeling of physical systems. Its scope includes the essential numerical techniques needed to "do physics" on a computer. Each of these is developed heuristically in the text, with the aid of simple mathematical illustrations. However, the real value of the book is in the eight Examples and Projects, where the reader is guided in applying these techniques to substantial problems in classical, quantum, or statistical mechanics. These problems have been chosen to enrich the standard physics curriculum at the advanced undergraduate or beginning graduate level. The book will also be useful to physicists, engineers, and chemists interested in computer modeling and numerical techniques. Although the user-friendly and fully documented programs are written in FORTRAN, a casual familiarity with any other high-level language, such as BASIC, PASCAL, or C, is sufficient. The codes in BASIC and FORTRAN are available on the web at http://www.computationalphysics.info. They are available in zip format, which can be expanded on UNIX, Window, and Mac systems with the proper software. The codes are suitable for use (with minor changes) on any machine with a FORTRAN-77 compatible compiler or BASIC compiler. The FORTRAN graphics codes are available as well. However, as they were originally written to run on the VAX, major modifications must be made to make them run on other machines.

Modern Portfolio Optimization with NuOPTTM, S-PLUS®, and S+BayesTM

By Bernd Scherer,R. Douglas Martin
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer Science & Business Media
  • Isbn Code : 038727586X
  • Number of Pages : 406
  • Category : Business & Economics
  • Reviews : 624
  • Pdf File: modern-portfolio-optimization-with-nuopttm-s-plus-and-s-bayestm.pdf

Book Excerpt:

In recent years portfolio optimization and construction methodologies have become an increasingly critical ingredient of asset and fund management, while at the same time portfolio risk assessment has become an essential ingredient in risk management. This trend will only accelerate in the coming years. This practical handbook fills the gap between current university instruction and current industry practice. It provides a comprehensive computationally-oriented treatment of modern portfolio optimization and construction methods using the powerful NUOPT for S-PLUS optimizer.

Data Analysis for the Life Sciences with R

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  • File : Pdf, ePub, Mobi, Kindle
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  • Number of Pages : 354
  • Category : Mathematics
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  • Pdf File: data-analysis-for-the-life-sciences-with-r.pdf

Book Excerpt:

This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.

Advances in Project Management

By Darren Dalcher
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Routledge
  • Isbn Code : 1317185161
  • Number of Pages : 260
  • Category : Business & Economics
  • Reviews : 177
  • Pdf File: advances-in-project-management.pdf

Book Excerpt:

On the evidence of the authors of Advances in Project Management: Narrated Journeys in Unchartered Territory, there is a sea change coming. That change will affect the way projects are perceived, lead and governed, particularly in the context of the wider organisation to which they belong; whether that is in the public, private or not-for-profit sectors. Many organisations have struggled to apply the traditional models of project management to their new projects in the global environment. Anecdotal and evidence-based research confirms that projects continue to fail at an alarming rate. A major part of the build-up to failure is often the lack of adequate project management knowledge and experience. Advances in Project Management covers key areas of improvement in understanding and project capability further up the management chain; amongst strategy and senior decision makers and amongst professional project and programme managers. This collection, drawn from some of the world’s leading practitioners and researchers and compiled by Professor Darren Dalcher of the National Centre for Project Management, provides those people and organisations who are involved with the developments in project management with the kind of structured information, new approaches and novel perspectives that will inform their thinking and their practice and improve their decisions.

Computational Methods in Earthquake Engineering

By Manolis Papadrakakis,Michalis Fragiadakis,Vagelis Plevris
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer Science & Business Media
  • Isbn Code : 9400765738
  • Number of Pages : 636
  • Category : Science
  • Reviews : 705
  • Pdf File: computational-methods-in-earthquake-engineering.pdf

Book Excerpt:

This book provides an insight on advanced methods and concepts for the design and analysis of structures against earthquake loading. This second volume is a collection of 28 chapters written by leading experts in the field of structural analysis and earthquake engineering. Emphasis is given on current state-of-the-art methods and concepts in computing methods and their application in engineering practice. The book content is suitable for both practicing engineers and academics, covering a wide variety of topics in an effort to assist the timely dissemination of research findings for the mitigation of seismic risk. Due to the devastating socioeconomic consequences of seismic events, the topic is of great scientific interest and is expected to be of valuable help to scientists and engineers. The chapters of this volume are extended versions of selected papers presented at the COMPDYN 2011 conference, held in the island of Corfu, Greece, under the auspices of the European Community on Computational Methods in Applied Sciences (ECCOMAS).

Handbook of Research on Waste Management Techniques for Sustainability

By Akkucuk, Ulas
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : IGI Global
  • Isbn Code : 1466697245
  • Number of Pages : 438
  • Category : Technology & Engineering
  • Reviews : 897
  • Pdf File: handbook-of-research-on-waste-management-techniques-for-sustainability.pdf

Book Excerpt:

Sustainability is a growing area of research in ecology, economics, environmental science, business, and cultural studies. Specifically, sustainable waste disposal and management is a growing concern as both solid and liquid wastes are rapidly expanding in direct correlation with population growth and improved economic conditions across regions. The Handbook of Research on Waste Management Techniques for Sustainability explores the topic of sustainable development in an era where domestic and municipal waste is becoming a concern for both human and environmental health. Highlighting a number of topics relating to pollution, green initiatives, and waste reduction in both the public and private sector, this research-based publication is designed for use by environmental scientists, business executives, researchers, graduate-level students, and policymakers seeking the latest information on sustainability in business, medicine, agriculture, and society.

Operations and Service Management: Concepts, Methodologies, Tools, and Applications

By Management Association, Information Resources
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  • Publisher : IGI Global
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  • Number of Pages : 1780
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  • Pdf File: operations-and-service-management.pdf

Book Excerpt:

Organizations of all types are consistently working on new initiatives, product lines, and workflows as a way to remain competitive in the modern business environment. No matter the type of project at hand, employing the best methods for effective execution and timely completion of the task is essential to business success. Operations and Service Management: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source for the latest research on business operations and production processes. It examines the need for a customer focus and highlights a range of pertinent topics such as financial performance measures, human resource development, and business analytics, this multi-volume book is ideally designed for managers, professionals, students, researchers, and academics interested in operations and service management.

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS

By Marc Kery,J. Andrew Royle
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Academic Press
  • Isbn Code : 0128097272
  • Number of Pages : 820
  • Category : Nature
  • Reviews : 333
  • Pdf File: applied-hierarchical-modeling-in-ecology.pdf

Book Excerpt:

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and Advanced Models provides a synthesis of the state-of-the-art in hierarchical models for plant and animal distribution, also focusing on the complex and more advanced models currently available. The book explains all procedures in the context of hierarchical models that represent a unified approach to ecological research, thus taking the reader from design, through data collection, and into analyses using a very powerful way of synthesizing data. Makes ecological modeling accessible to people who are struggling to use complex or advanced modeling programs Synthesizes current ecological models and explains how they are inter-connected Contains numerous examples throughout the book, walking the reading through scenarios with both real and simulated data Provides an ideal resource for ecologists working in R software and in BUGS software for more flexible Bayesian analyses

Machine Learning Essentials

By Alboukadel Kassambara
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : STHDA
  • Isbn Code : 1986406857
  • Number of Pages : 209
  • Category :
  • Reviews : 745
  • Pdf File: machine-learning-essentials.pdf

Book Excerpt:

Discovering knowledge from big multivariate data, recorded every days, requires specialized machine learning techniques. This book presents an easy to use practical guide in R to compute the most popular machine learning methods for exploring real word data sets, as well as, for building predictive models. The main parts of the book include: A) Unsupervised learning methods, to explore and discover knowledge from a large multivariate data set using clustering and principal component methods. You will learn hierarchical clustering, k-means, principal component analysis and correspondence analysis methods. B) Regression analysis, to predict a quantitative outcome value using linear regression and non-linear regression strategies. C) Classification techniques, to predict a qualitative outcome value using logistic regression, discriminant analysis, naive bayes classifier and support vector machines. D) Advanced machine learning methods, to build robust regression and classification models using k-nearest neighbors methods, decision tree models, ensemble methods (bagging, random forest and boosting). E) Model selection methods, to select automatically the best combination of predictor variables for building an optimal predictive model. These include, best subsets selection methods, stepwise regression and penalized regression (ridge, lasso and elastic net regression models). We also present principal component-based regression methods, which are useful when the data contain multiple correlated predictor variables. F) Model validation and evaluation techniques for measuring the performance of a predictive model. G) Model diagnostics for detecting and fixing a potential problems in a predictive model. The book presents the basic principles of these tasks and provide many examples in R. This book offers solid guidance in data mining for students and researchers. Key features: - Covers machine learning algorithm and implementation - Key mathematical concepts are presented - Short, self-contained chapters with practical examples.

Semiconductor Modeling:

By Roy Leventhal,Lynne Green
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer Science & Business Media
  • Isbn Code : 0387241604
  • Number of Pages : 766
  • Category : Technology & Engineering
  • Reviews : 886
  • Pdf File: semiconductor-modeling.pdf

Book Excerpt:

Discusses process variation, model accuracy, design flow and many other practical engineering, reliability and manufacturing issues Gives a good overview for a person who is not an expert in modeling and simulation, enabling them to extract the necessary information to competently use modeling and simulation programs Written for engineering students and product design engineers

Planning and Operation of Plug-In Electric Vehicles

By Mehdi Rahmani-Andebili
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer
  • Isbn Code : 3030180220
  • Number of Pages : 245
  • Category : Technology & Engineering
  • Reviews : 643
  • Pdf File: planning-and-operation-of-plug-in-electric-vehicles.pdf

Book Excerpt:

This book highlights the latest advancements in the planning and operation of plug-in electric vehicles (PEV). In-depth, the book presents essential planning and operation techniques to manage the PEV fleet and handle the related uncertainties associated with the drivers’ behavior. Several viewpoints are presented in the book, ranging from the local distribution companies to generation companies to the aggregators. Problems such as parking lot allocation and charging management are investigated, taking into consideration the technical, geographical, and social aspects in a smart grid infrastructure. Discusses the technical specifications of electrical distribution and generation systems; Models drivers’ behavior from the sociology and economic points of view; Considers the real geographical characteristics of area and driving routes in San Francisco, CA, US; Chicago, IL, US; and Tehran, Iran.

Competing on Talent in Today's Business World

By Pradeep Sahay
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Cambridge Scholars Publishing
  • Isbn Code : 1527514315
  • Number of Pages : 290
  • Category : Business & Economics
  • Reviews : 756
  • Pdf File: competing-on-talent-in-today-s-business-world.pdf

Book Excerpt:

It is currently an exciting time for organizations with regard to the recruitment of talent. The business and organizational pressures for finding and hiring the best people could not be greater. Recruitment has not changed as a process—a vacancy still needs a suitable hire. However, the landscape, tools, technologies, behaviors and expectations regarding how an organization approaches sourcing and acquiring talent are changing rapidly. This book chronicles one organization’s journey as it goes about re-orienting the focus of its talent acquisition capability from the current reactive process to a strategic and proactive program capable of consistently sourcing and recruiting the very best people available. Forward-looking companies are seizing this opportunity to create a true competitive advantage in talent sourcing and acquisition. They are focusing on fine-tuning the fundamentals, while devoting increased time and planning to the more strategic areas of talent acquisition, including workforce planning and strategic sourcing. Their best-in-class approaches elevate recruitment from a transactional, short-term focused activity to a strategic, integrated, long-term approach that optimizes their investments in people. This book articulates both the challenges and the response options that confront organizations as they compete for talent in this fast-changing business climate. The initial sections here provide a macro view on the changing work landscape and how recent trends and developments around technology and innovation are impacting the discipline of Talent Acquisition. The book is designed as a running case study profiling the best practices in recruiting. Drawing on both primary and secondary research, it adapts and learns from the best practices of high-impact business functions, such as a lean supply chain, analytics, process re-engineering, sales and marketing, and discusses the leading academics and practitioners in this regard. As such, this book will elevate awareness and discourse on the topic, and will help concretize a roadmap for organizations looking to revisit and re-invent their talent acquisition philosophies and practices as they compete for talent in today’s world.

Decision Making in Natural Resource Management

By Michael J. Conroy,James T. Peterson
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : John Wiley & Sons
  • Isbn Code : 1118506235
  • Number of Pages : 480
  • Category : Science
  • Reviews : 366
  • Pdf File: decision-making-in-natural-resource-management.pdf

Book Excerpt:

This book is intended for use by natural resource managers andscientists, and students in the fields of natural resourcemanagement, ecology, and conservation biology, who are confrontedwith complex and difficult decision making problems. The book takesreaders through the process of developing a structured approach todecision making, by firstly deconstructing decisions into componentparts, which are each fully analyzed and then reassembled to form aworking decision model. The book integrates common-senseideas about problem definitions, such as the need for decisions tobe driven by explicit objectives, with sophisticated approaches formodeling decision influence and incorporating feedback frommonitoring programs into decision making via adaptive management.Numerous worked examples are provided for illustration, along withdetailed case studies illustrating the authors’ experience inapplying structured approaches. There is also a series of detailedtechnical appendices. An accompanying website providescomputer code and data used in the worked examples. Additional resources for this book can be foundat: ahref="http://www.wiley.com/go/conroy/naturalresourcemanagement"www.wiley.com/go/conroy/naturalresourcemanagement/a.

Semiparametric Regression with R

By Jaroslaw Harezlak,David Ruppert,Matt P. Wand
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer
  • Isbn Code : 1493988530
  • Number of Pages : 331
  • Category : Mathematics
  • Reviews : 479
  • Pdf File: semiparametric-regression-with-r.pdf

Book Excerpt:

This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between the available methodology and its use in practice. Semiparametric regression has a large literature but much of it is geared towards data analysts who have advanced knowledge of statistical methods. While R now has a great deal of semiparametric regression functionality, many of these developments have not trickled down to rank-and-file statistical analysts. The authors assemble a broad range of semiparametric regression R analyses and put them in a form that is useful for applied researchers. There are chapters devoted to penalized spines, generalized additive models, grouped data, bivariate extensions of penalized spines, and spatial semi-parametric regression models. Where feasible, the R code is provided in the text, however the book is also accompanied by an external website complete with datasets and R code. Because of its flexibility, semiparametric regression has proven to be of great value with many applications in fields as diverse as astronomy, biology, medicine, economics, and finance. This book is intended for applied statistical analysts who have some familiarity with R.

Business Process Transformation

By Chitra Sharma
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer
  • Isbn Code : 8132223497
  • Number of Pages : 201
  • Category : Business & Economics
  • Reviews : 607
  • Pdf File: business-process-transformation.pdf

Book Excerpt:

This book presents a framework through transformation and explains how business goals can be translated into realistic plans that are tangible and yield real results in terms of the top line and the bottom line. Process Transformation is like a tangram puzzle, which has multiple solutions yet is essentially composed of seven ‘tans’ that hold it together. Based on practical experience and intensive research into existing material, ‘Process Tangram’ is a simple yet powerful framework that proposes Process Transformation as a program. The seven ‘tans’ are: the transformation program itself, triggers, goals, tools and techniques, culture, communication and success factors. With its segregation into tans and division into core elements, this framework makes it possible to use ‘pick and choose’ to quickly and easily map an organization’s specific requirements. Change management and process modeling are covered in detail. In addition, the book approaches managed services as a model of service delivery, which it explores as a case of process transformation. This book will appeal to anyone engaged in business process transformation, be it business process management professionals, change managers, sponsors, program managers or line managers. The book starts with the basics, making it suitable even for students who want to make a career in business process management.

Bayesian Hierarchical Models

By Peter D. Congdon
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : CRC Press
  • Isbn Code : 1498785913
  • Number of Pages : 580
  • Category : Mathematics
  • Reviews : 393
  • Pdf File: bayesian-hierarchical-models.pdf

Book Excerpt:

An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples. The examples exploit and illustrate the broader advantages of the R computing environment, while allowing readers to explore alternative likelihood assumptions, regression structures, and assumptions on prior densities. Features: Provides a comprehensive and accessible overview of applied Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics R code (based on rjags, jagsUI, R2OpenBUGS, and rstan) is integrated into the book, emphasizing implementation Software options and coding principles are introduced in new chapter on computing Programs and data sets available on the book’s website