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Common Errors In Statistics Second Edition Statistical Rules Of Thumb Set
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Book Synopsis Common Errors in Statistics, Second Edition & Statistical Rules of Thumb Set by : Phillip I. Good
Download or read book Common Errors in Statistics, Second Edition & Statistical Rules of Thumb Set written by Phillip I. Good and published by Wiley-Interscience. This book was released on 2008-03-03 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This set contains: 9780470383186 Common Errors in Statistics, Second Edition by Phillip I. Good and 9780471402275 Statistical Rules of Thumb by Gerald van Belle.
Book Synopsis Common Errors in Statistics (and How to Avoid Them), Third Edition + Statistical Rules of Thumb, Second Edition Set by : Phillip I. Good
Download or read book Common Errors in Statistics (and How to Avoid Them), Third Edition + Statistical Rules of Thumb, Second Edition Set written by Phillip I. Good and published by Wiley. This book was released on 2009-07-07 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set features: Common Errors in Statistics (and How to Avoid Them), Third Edition by Phillip I. Good and James W. Hardin (978-0-470-45798-6) and Statistical Rules of Thumb, Second Edition by Gerald van Belle (978-0-470-1448-0)
Book Synopsis Common Errors in Statistics (and How to Avoid Them) by : Phillip I. Good
Download or read book Common Errors in Statistics (and How to Avoid Them) written by Phillip I. Good and published by John Wiley & Sons. This book was released on 2006-06-23 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition of Common Errors in Statistics " . . . let me recommend Common Errors to all those who interact with statistics, whatever their level of statistical understanding . . . " --Stats 40 " . . . written . . . for the people who define good practice rather than seek to emulate it." --Journal of Biopharmaceutical Statistics " . . . highly informative, enjoyable to read, and of potential use to a broad audience. It is a book that should be on the reference shelf of many statisticians and researchers." --The American Statistician " . . . I found this book the most easily readable statistics book ever. The credit for this certainly goes to Phillip Good." --E-STREAMS A tried-and-true guide to the proper application of statistics Now in a second edition, the highly readable Common Errors in Statistics (and How to Avoid Them) lays a mathematically rigorous and readily accessible foundation for understanding statistical procedures, problems, and solutions. This handy field guide analyzes common mistakes, debunks popular myths, and helps readers to choose the best and most effective statistical technique for each of their tasks. Written for both the newly minted academic and the professional who uses statistics in their work, the book covers creating a research plan, formulating a hypothesis, specifying sample size, checking assumptions, interpreting p-values and confidence intervals, building a model, data mining, Bayes' Theorem, the bootstrap, and many other topics. The Second Edition has been extensively revised to include: * Additional charts and graphs * Two new chapters, Interpreting Reports and Which Regression Method? * New sections on practical versus statistical significance and nonuniqueness in multivariate regression * Added material from the authors' online courses at statistics.com * New material on unbalanced designs, report interpretation, and alternative modeling methods With a final emphasis on both finding solutions and the great value of statistics when applied in the proper context, this book is eminently useful to students and professionals in the fields of research, industry, medicine, and government.
Book Synopsis Common Errors in Statistics (and How to Avoid Them), 2nd Edition + Introduction to Statistics Through Resampling Methods and Microsoft Office Excel by : Phillip I. Good
Download or read book Common Errors in Statistics (and How to Avoid Them), 2nd Edition + Introduction to Statistics Through Resampling Methods and Microsoft Office Excel written by Phillip I. Good and published by Wiley-Interscience. This book was released on 2008-03-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set contains: 9780471794318 Common Errors in Statistics (and How to Avoid Them), 2nd Edition and 9780471715757 Introduction to Statistics Through Resampling Methods and R/S Plus?? both by Phillip I. Good and James W. Hardin.
Book Synopsis Statistical Rules of Thumb by : Gerald Van Belle
Download or read book Statistical Rules of Thumb written by Gerald Van Belle and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Rules of Thumb by : Gerald van Belle
Download or read book Statistical Rules of Thumb written by Gerald van Belle and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition: "For a beginner [this book] is a treasure trove; for an experienced person it can provide new ideas on how better to pursue the subject of applied statistics." —Journal of Quality Technology Sensibly organized for quick reference, Statistical Rules of Thumb, Second Edition compiles simple rules that are widely applicable, robust, and elegant, and each captures key statistical concepts. This unique guide to the use of statistics for designing, conducting, and analyzing research studies illustrates real-world statistical applications through examples from fields such as public health and environmental studies. Along with an insightful discussion of the reasoning behind every technique, this easy-to-use handbook also conveys the various possibilities statisticians must think of when designing and conducting a study or analyzing its data. Each chapter presents clearly defined rules related to inference, covariation, experimental design, consultation, and data representation, and each rule is organized and discussed under five succinct headings: introduction; statement and illustration of the rule; the derivation of the rule; a concluding discussion; and exploration of the concept's extensions. The author also introduces new rules of thumb for topics such as sample size for ratio analysis, absolute and relative risk, ANCOVA cautions, and dichotomization of continuous variables. Additional features of the Second Edition include: Additional rules on Bayesian topics New chapters on observational studies and Evidence-Based Medicine (EBM) Additional emphasis on variation and causation Updated material with new references, examples, and sources A related Web site provides a rich learning environment and contains additional rules, presentations by the author, and a message board where readers can share their own strategies and discoveries. Statistical Rules of Thumb, Second Edition is an ideal supplementary book for courses in experimental design and survey research methods at the upper-undergraduate and graduate levels. It also serves as an indispensable reference for statisticians, researchers, consultants, and scientists who would like to develop an understanding of the statistical foundations of their research efforts. A related website www.vanbelle.org provides additional rules, author presentations and more.
Book Synopsis Misused Statistics, Second Edition by : Herbert Spirer
Download or read book Misused Statistics, Second Edition written by Herbert Spirer and published by CRC Press. This book was released on 1998-07-16 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Revised and updated edition of a standard in the field. Alerts readers to the problems, inherent in statistical practice-illustrating the types of misused statistics with well-documented, real-world examples, nearly half new to this edition, drawn from a wide range of areas, including the media, public policy, polls and surveys, political elections and debates, advertising, science and health care, and business and economics."
Book Synopsis Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and R/S-PLUS Set by : Phillip I. Good
Download or read book Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and R/S-PLUS Set written by Phillip I. Good and published by Wiley. This book was released on 2009-07-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set features: Common Errors in Statistics (and How to Avoid Them), Third Edition by Phillip I. Good and James W. Hardin (978-0-470-45798-6) and Introduction to Statistics Through Resampling Methods and R/S-PLUS (978-0-471-71575-7)
Book Synopsis Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and Microsoft Office Excel Set by : Phillip I. Good
Download or read book Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and Microsoft Office Excel Set written by Phillip I. Good and published by Wiley. This book was released on 2009-07-07 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set features: Common Errors in Statistics (and How to Avoid Them), Third Edition by Phillip I. Good and James W. Hardin (978-0-470-48798-6)and Introduction to Statistics Through Resampling Methods and Microsoft Office Excel by Phillip I. Good (978-0-471-73191-7)
Book Synopsis Six Sigma: SPC and TQM in Manufacturing and Services by : Geoff Tennant
Download or read book Six Sigma: SPC and TQM in Manufacturing and Services written by Geoff Tennant and published by Taylor & Francis. This book was released on 2017-07-05 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively explores all of the underlying issues and elements which, together, constitute one of the most successful quality and management programmes upon which companies such as Motorola and GE base their success - Six Sigma. The author was directly involved in implementing Six Sigma quality principles and practices into a European division of GE Capital, deploying this initiative in an entirely service-oriented business for the first time. Drawing from and reflecting on his experience, Geoff Tennant develops a reasoned exploration of the benefits that Six Sigma offers to any organization and what can be expected from start to finish. He investigates the relationship between Six Sigma and quality, customer satisfaction, business processes and organizational structure, statistics and analysis and process improvement methodologies. Aimed at quality professionals, senior management and directors, as well as practitioners and students of Six Sigma, Six Sigma: SPC and TQM in Manufacturing and Services provides an in-depth but highly readable insight into the quality initiative that is certain to sweep European companies as it has large and global American corporations.
Book Synopsis Common Errors in Statistics (and How to Avoid Them) by : Phillip I. Good
Download or read book Common Errors in Statistics (and How to Avoid Them) written by Phillip I. Good and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Second Edition "All statistics students and teachers will find in this book a friendly and intelligentguide to . . . applied statistics in practice." —Journal of Applied Statistics ". . . a very engaging and valuable book for all who use statistics in any setting." —CHOICE ". . . a concise guide to the basics of statistics, replete with examples . . . a valuablereference for more advanced statisticians as well." —MAA Reviews Now in its Third Edition, the highly readable Common Errors in Statistics (and How to Avoid Them) continues to serve as a thorough and straightforward discussion of basic statistical methods, presentations, approaches, and modeling techniques. Further enriched with new examples and counterexamples from the latest research as well as added coverage of relevant topics, this new edition of the benchmark book addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research. The Third Edition has been considerably expanded and revised to include: A new chapter on data quality assessment A new chapter on correlated data An expanded chapter on data analysis covering categorical and ordinal data, continuous measurements, and time-to-event data, including sections on factorial and crossover designs Revamped exercises with a stronger emphasis on solutions An extended chapter on report preparation New sections on factor analysis as well as Poisson and negative binomial regression Providing valuable, up-to-date information in the same user-friendly format as its predecessor, Common Errors in Statistics (and How to Avoid Them), Third Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.
Book Synopsis Multiway Contingency Tables Analysis for the Social Sciences by : Thomas D. Wickens
Download or read book Multiway Contingency Tables Analysis for the Social Sciences written by Thomas D. Wickens and published by Psychology Press. This book was released on 2014-02-25 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed. This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.
Book Synopsis Handbook of Statistical Analysis and Data Mining Applications by : Robert Nisbet
Download or read book Handbook of Statistical Analysis and Data Mining Applications written by Robert Nisbet and published by Academic Press. This book was released on 2009-05-14 with total page 859 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. Written "By Practitioners for Practitioners" Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models Practical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book
Book Synopsis Pierre Gy's Sampling Theory and Sampling Practice, Second Edition by : Francis F. Pitard
Download or read book Pierre Gy's Sampling Theory and Sampling Practice, Second Edition written by Francis F. Pitard and published by CRC Press. This book was released on 1993-08-03 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pierre Gy's Sampling Theory and Sampling Practice, Second Edition is a concise, step-by-step guide for process variability management and methods. Updated and expanded, this new edition provides a comprehensive study of heterogeneity, covering the basic principles of sampling theory and its various applications. It presents many practical examples to allow readers to select appropriate sampling protocols and assess the validity of sampling protocols from others. The variability of dynamic process streams using variography is discussed to help bridge sampling theory with statistical process control. Many descriptions of good sampling devices, as well as descriptions of poor ones, are featured to educate readers on what to look for when purchasing sampling systems. The book uses its accessible, tutorial style to focus on professional selection and use of methods. The book will be a valuable guide for mineral processing engineers; metallurgists; geologists; miners; chemists; environmental scientists; and practitioners in chemical, cement, steel, power generation, high performance materials, recycling, cereal, and pharmaceutical industries.
Book Synopsis Quantitative Ecotoxicology, Second Edition by : Michael C. Newman
Download or read book Quantitative Ecotoxicology, Second Edition written by Michael C. Newman and published by CRC Press. This book was released on 2012-08-29 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Ecotoxicology, Second Edition explores models and methods of quantitative ecotoxicology at progressively higher biological scales using worked examples and common software packages. It complements the author’s previous books, Fundamentals of Ecotoxicology, Third Edition and Ecotoxicology: A Comprehensive Treatment. Encouraging a more rigorous inferential approach to research, the book examines the quantitative features of the science of ecotoxicology. The first chapters lay the foundation by introducing fundamental concepts and definitions. The author traces the historical perspective, rationale, and characteristics of scientific ecotoxicology as well as the general measurement process. He also considers methodologies for defining and controlling variance, which could otherwise exclude valid conclusions from ecotoxicological endeavors. The book then discusses ecotoxicological concepts at increasing levels of ecological organization and outlines quantitative methods used to measure toxicant accumulation and effects. Reflecting the importance of establishing type I and type II error rates, it highlights design issues, particularly sample size and power estimation. The final chapter summarizes the book with a brief discussion of ecotoxicology from a nonregulatory perspective. Extensively updated, this second edition has been expanded to include terrestrial as well as aquatic ecotoxicology. Requiring only a basic knowledge of statistics, this highly readable book is suitable for graduate students and researchers as well as practicing environmental scientists and engineers. It guides readers to better understand the fate and effects of toxicants in the biosphere—and helps them frame this understanding in quantitative terms. What’s New in This Edition More than 40 new figures and 20 new worked examples Updated measurement quality methods and software Expanded coverage of synecological models and methods More integration of Bayesian concepts Appendices for power analysis and basic matrix methods Additional mixture toxicity and up-and-down methods Greatly expanded discussion of significance testing Expanded discussion of metapopulations Matrix tools for population demography Light isotope-based models for trophic transfer of toxicants Inclusion of metacommunity and SHE analysis techniques R script examples by Eduard Szöcs (University Koblenz-Landau) available at http://edild.github.io/blog/categories/quantitative-ecotoxicology-with-r/
Book Synopsis Reliability Assessments by : Franklin Richard Nash, Ph.D.
Download or read book Reliability Assessments written by Franklin Richard Nash, Ph.D. and published by CRC Press. This book was released on 2017-07-12 with total page 749 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides engineers and scientists with a single source introduction to the concepts, models, and case studies for making credible reliability assessments. It satisfies the need for thorough discussions of several fundamental subjects. Section I contains a comprehensive overview of assessing and assuring reliability that is followed by discussions of: • Concept of randomness and its relationship to chaos • Uses and limitations of the binomial and Poisson distributions • Relationship of the chi-square method and Poisson curves • Derivations and applications of the exponential, Weibull, and lognormal models • Examination of the human mortality bathtub curve as a template for components Section II introduces the case study modeling of failure data and is followed by analyses of: • 5 sets of ideal Weibull, lognormal, and normal failure data • 83 sets of actual (real) failure data The intent of the modeling was to find the best descriptions of the failures using statistical life models, principally the Weibull, lognormal, and normal models, for characterizing the failure probability distributions of the times-, cycles-, and miles-to-failure during laboratory or field testing. The statistical model providing the preferred characterization was determined empirically by choosing the two-parameter model that gave the best straight-line fit in the failure probability plots using a combination of visual inspection and three statistical goodness-of-fit (GoF) tests. This book offers practical insight in dealing with single item reliability and illustrates the use of reliability methods to solve industry problems.
Book Synopsis Bayesian Methods for Management and Business by : Eugene D. Hahn
Download or read book Bayesian Methods for Management and Business written by Eugene D. Hahn and published by John Wiley & Sons. This book was released on 2014-09-02 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: HIGHLIGHTS THE USE OF BAYESIAN STATISTICS TO GAIN INSIGHTS FROM EMPIRICAL DATA Featuring an accessible approach, Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems demonstrates how Bayesian statistics can help to provide insights into important issues facing business and management. The book draws on multidisciplinary applications and examples and utilizes the freely available software WinBUGS and R to illustrate the integration of Bayesian statistics within data-rich environments. Computational issues are discussed and integrated with coverage of linear models, sensitivity analysis, Markov Chain Monte Carlo (MCMC), and model comparison. In addition, more advanced models including hierarchal models, generalized linear models, and latent variable models are presented to further bridge the theory and application in real-world usage. Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems also features: Numerous real-world examples drawn from multiple management disciplines such as strategy, international business, accounting, and information systems An incremental skill-building presentation based on analyzing data sets with widely applicable models of increasing complexity An accessible treatment of Bayesian statistics that is integrated with a broad range of business and management issues and problems A practical problem-solving approach to illustrate how Bayesian statistics can help to provide insight into important issues facing business and management Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems is an important textbook for Bayesian statistics courses at the advanced MBA-level and also for business and management PhD candidates as a first course in methodology. In addition, the book is a useful resource for management scholars and practitioners as well as business academics and practitioners who seek to broaden their methodological skill sets.
