Statistical Rules of Thumb - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Rules of Thumb write by Gerald van Belle. This book was released on 2011-09-20. Statistical Rules of Thumb available in PDF, EPUB and Kindle. 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.
Statistical Design of Experiments with Engineering Applications
Statistical Design of Experiments with Engineering Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Design of Experiments with Engineering Applications write by Kamel Rekab. This book was released on 2005-04-08. Statistical Design of Experiments with Engineering Applications available in PDF, EPUB and Kindle. In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for
Common Errors in Statistics, Second Edition & Statistical Rules of Thumb Set
Common Errors in Statistics, Second Edition & Statistical Rules of Thumb Set - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Common Errors in Statistics, Second Edition & Statistical Rules of Thumb Set write by Phillip I. Good. This book was released on 2008-03-03. Common Errors in Statistics, Second Edition & Statistical Rules of Thumb Set available in PDF, EPUB and Kindle. This set contains: 9780470383186 Common Errors in Statistics, Second Edition by Phillip I. Good and 9780471402275 Statistical Rules of Thumb by Gerald van Belle.
Common Errors in Statistics (and How to Avoid Them)
Common Errors in Statistics (and How to Avoid Them) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Common Errors in Statistics (and How to Avoid Them) write by Phillip I. Good. This book was released on 2011-09-20. Common Errors in Statistics (and How to Avoid Them) available in PDF, EPUB and Kindle. 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.
Statistical and Methodological Myths and Urban Legends
Statistical and Methodological Myths and Urban Legends - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical and Methodological Myths and Urban Legends write by Charles E. Lance. This book was released on 2010-10-18. Statistical and Methodological Myths and Urban Legends available in PDF, EPUB and Kindle. This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are sustained, in part, upon sound rationale and justification and, in part, upon unfounded lore. Some examples of these "methodological urban legends", as we refer to them in this book, are characterized by manuscript critiques such as: (a) "your self-report measures suffer from common method bias"; (b) "your item-to-subject ratios are too low"; (c) "you can’t generalize these findings to the real world"; or (d) "your effect sizes are too low". Historically, there is a kernel of truth to most of these legends, but in many cases that truth has been long forgotten, ignored or embellished beyond recognition. This book examines several such legends. Each chapter is organized to address: (a) what the legend is that "we (almost) all know to be true"; (b) what the "kernel of truth" is to each legend; (c) what the myths are that have developed around this kernel of truth; and (d) what the state of the practice should be. This book meets an important need for the accumulation and integration of these methodological and statistical practices.
