Handbook of Petroleum Product Analysis

A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis. The focus is on the tools that both practitioners and researchers use in real life. It is intended to be a comprehensive collection of the theory, methods, and applications of regression methods, but it has been deliberately written at an accessible level. The handbook provides a quick and convenient reference or “refresher” on ideas and methods that are useful for the effective analysis of data and its resulting interpretations. Students can use the book as an introduction to and/or summary of key concepts in regression and related course work (including linear, binary logistic, multinomial logistic, count, and nonlinear regression models). Theory underlying the methodology is presented when it advances conceptual understanding and is always supplemented by hands-on examples. References are supplied for readers wanting more detailed material on the topics discussed in the book. R code and data for all of the analyses described in the book are available via an author-maintained website. «I enjoyed the presentation of the Handbook, and I would be happy to recommend this nice handy book as a reference to my students. The clarity of the writing and proper choices of examples allows the presentations ofmany statisticalmethods shine. The quality of the examples at the end of each chapter is a strength. They entail explanations of the resulting R outputs and successfully guide readers to interpret them.» American Statistician

A ONE-OF-A-KIND GUIDE TO THE BEST PRACTICES IN DECISION ANALYSIS Decision analysis provides powerful tools for addressing complex decisions that involve uncertainty and multiple objectives, yet most training materials on the subject overlook the soft skills that are essential for success in the field. This unique resource fills this gap in the decision analysis literature and features both soft personal/interpersonal skills and the hard technical skills involving mathematics and modeling. Readers will learn how to identify and overcome the numerous challenges of decision making, choose the appropriate decision process, lead and manage teams, and create value for their organization. Performing modeling analysis, assessing risk, and implementing decisions are also addressed throughout. Additional features include: Key insights gleaned from decision analysis applications and behavioral decision analysis research Integrated coverage of the techniques of single- and multiple-objective decision analysis Multiple qualitative and quantitative techniques presented for each key decision analysis task Three substantive real-world case studies illustrating diverse strategies for dealing with the challenges of decision making Extensive references for mathematical proofs and advanced topics The Handbook of Decision Analysis is an essential reference for academics and practitioners in various fields including business, operations research, engineering, and science. The book also serves as a supplement for courses at the upper-undergraduate and graduate levels.

Provides users with everything they need to know about testing and analysis of coal Includes new coverage on environmental issues and regulations as related to coal Provides the reader with the necessary information about testing and analyzing coal and relays the advantages and limitations in understanding the quality and performance of coal Explains the meaning of test results and how these results can predict coal behavior and its corresponding environmental impact during use Includes a comprehensive Glossary which defines items in straightforward language that enable readers to better understand the terminology related to coal Treats issues related to sampling, and accuracy and precision of analysis

Featuring contributions from leading scholars in the field, The Handbook of Narrative Analysis is the first comprehensive collection of sociolinguistic scholarship on narrative analysis to be published. Organized thematically to provide an accessible guide for how to engage with narrative without prescribing a rigid analytic framework Represents established modes of narrative analysis juxtaposed with innovative new methods for conducting narrative research Includes coverage of the latest advances in narrative analysis, from work on social media to small stories research Introduces and exemplifies a practice-based approach to narrative analysis that separates narrative from text so as to broaden the field beyond the printed page

Written in easy-to-read and -use format, this book provides a strong training resource and reference for product designers using plastics in their products – helping them identify, quantify, and confirm whether problems are related to product design or process.

• Updates coverage of data analysis techniques and examples and expands coverage of failure analysis, key because of increased litigation related to product liability
• Overviews plastic testing methods and the framework to investigate causes of plastic part failure
• Provides a strong training resource and reference for product designers using plastics in their products
• Features a video tour of a plastics testing labroatory on a companion website and has a separate manual of problems and solutions that are appropriate for college professors using the book as a class textbook

A valuable handbook containing reviews, practical methods and standard operating procedures. A valuable and practical working handbook containing introductory and specialist content that tackles a major and growing field of environmental, microbiological and ecotoxicological monitoring and analysis Includes introductory reviews, practical analytical chapters and a comprehensive listing of almost thirty Standard Operating Procedures (SOPs) For use in the laboratory, in academic and government institutions and industrial settings

Written in easy-to-read and -use format, this book updates and revises its bestselling predecessor to become the most complete, comprehensive resource on plastics testing. This book has an emphasis on significance of test methods and interpretation of results. The book covers all aspects of plastics testing, failure analysis, and quality assurance – including chapters on identification analysis, failure analysis, and case studies. The book concludes with a substantial appendix with useful data, charts and tables for ready reference. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

New Product Development is one of the most important challenges facing organizations today. The Product Development and Management Association (PDMA) Handbook of New Product Development 3rd Edition provides an exceptional review of cutting edge topics for both new and experienced product development leaders. It offers a comprehensive and updated guide to the practices, processes and tools critical to achieving and sustaining new product/service development success in today’s world, delivering valuable information about the fundamentals as well as emerging practices such as venturing, virtual product development and the use of social media in NPD. As the premier global advocate for professionals and organizations working in the fields of new product/service development, PDMA has assembled in the Handbook unique content on the critical aspects of product development success including its 2012 Best Practices Research, Lessons Learned from its Outstanding Corporate Innovator Award Winners and keys to success from organizations with proven innovation track records. The 3rd Edition is an essential reference for anyone with responsibility for product development activities, from novices looking for fundamentals to experts seeking insights on emerging concepts, and is relevant for all functions and all product/service industries.

H andbook and reference guide for students and practitioners of statistical regression-based analyses in R   Handbook of Regression Analysis  with Applications in R, Second Edition  is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical programming language. The authors’ thorough treatment of “classical” regression analysis in the first edition is complemented here by their discussion of more advanced topics including time-to-event survival data and longitudinal and clustered data.  The book further pays particular attention to methods that have become prominent in the last few decades as increasingly large data sets have made new techniques and applications possible. These include:  Regularization methods Smoothing methods Tree-based methods In the new edition of the  Handbook , the data analyst’s toolkit is explored and expanded. Examples are drawn from a wide variety of real-life applications and data sets. All the utilized R code and data are available via an author-maintained website.  Of interest to undergraduate and graduate students taking courses in statistics and regression, the  Handbook of Regression Analysis  will also be invaluable to practicing data scientists and statisticians.