Common Errors In Statistics And How To Avoid Them Second Edition Introduction To Statistics Through Resampling Methods And R S Plus Set PDF Download

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Common Errors in Statistics (and How to Avoid Them), Second Edition + Introduction to Statistics Through Resampling Methods and R/S-PLUS Set

Common Errors in Statistics (and How to Avoid Them), Second Edition + Introduction to Statistics Through Resampling Methods and R/S-PLUS Set
Author: Phillip I. Good
Publisher: Wiley-Interscience
Total Pages: 0
Release: 2008-02-27
Genre:
ISBN: 9780470388099
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Download Common Errors in Statistics (and How to Avoid Them), Second Edition + Introduction to Statistics Through Resampling Methods and R/S-PLUS Set Book in PDF, ePub and Kindle

This set contains: 9780471794318 Common Errors in Statistics(and How to Avoid Them), Second Edition by Phillip I. Good, James W. Hardin and 9780471715757 Introduction to Statistics Through Resampling Methods and R/S-Plus by Phillip I. Good.

Common Errors in Statistics (and How to Avoid Them), 2nd Edition + Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Common Errors in Statistics (and How to Avoid Them), 2nd Edition + Introduction to Statistics Through Resampling Methods and Microsoft Office Excel
Author: Phillip I. Good
Publisher: Wiley-Interscience
Total Pages: 0
Release: 2008-03-14
Genre: Mathematics
ISBN: 9780470388105
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Download Common Errors in Statistics (and How to Avoid Them), 2nd Edition + Introduction to Statistics Through Resampling Methods and Microsoft Office Excel Book in PDF, ePub and Kindle

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.

Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and R/S-PLUS Set

Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and R/S-PLUS Set
Author: Phillip I. Good
Publisher: Wiley
Total Pages: 0
Release: 2009-07-07
Genre: Mathematics
ISBN: 9780470555798
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Download Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and R/S-PLUS Set Book in PDF, ePub and Kindle

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)

Common Errors in Statistics (and How to Avoid Them)

Common Errors in Statistics (and How to Avoid Them)
Author: Phillip I. Good
Publisher: John Wiley & Sons
Total Pages: 251
Release: 2012-06-07
Genre: Mathematics
ISBN: 1118360117
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Praise for Common Errors in Statistics (and How to Avoid Them) "A very engaging and valuable book for all who use statistics in any setting." CHOICE "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." MAA Reviews Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials. Providing a consistent level of coherency throughout, the highly readable Fourth Edition focuses on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. The authors begin with an introduction to the main sources of error and provide techniques for avoiding them. Subsequent chapters outline key methods and practices for accurate analysis, reporting, and model building. The Fourth Edition features newly added topics, including: Baseline data Detecting fraud Linear regression versus linear behavior Case control studies Minimum reporting requirements Non-random samples The book concludes with a glossary that outlines key terms, and an extensive bibliography with several hundred citations directing readers to resources for further study. Presented in an easy-to-follow style, Common Errors in Statistics, Fourth Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.

Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and Microsoft Office Excel Set

Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and Microsoft Office Excel Set
Author: Phillip I. Good
Publisher: Wiley
Total Pages: 504
Release: 2009-07-07
Genre: Mathematics
ISBN: 9780470555897
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Download Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and Microsoft Office Excel Set Book in PDF, ePub and Kindle

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)

Common Errors in Statistics (and How to Avoid Them)

Common Errors in Statistics (and How to Avoid Them)
Author: Phillip I. Good
Publisher: John Wiley & Sons
Total Pages: 231
Release: 2011-09-20
Genre: Mathematics
ISBN: 1118211278
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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.

Resampling Methods

Resampling Methods
Author: Phillip I. Good
Publisher: Springer Science & Business Media
Total Pages: 229
Release: 2006-12-31
Genre: Mathematics
ISBN: 081764444X
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This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware. New to the third edition are additional program listings and screen shots of C++, CART, Blossom, Box Sampler (an Excel add-in), EViews, MATLAB, R, Resampling Stats, SAS macros, S-Plus, Stata, or StatXact, which accompany each resampling procedure. A glossary and solutions to selected exercises have also been added. With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for statisticians, biostatisticians, statistical consultants, students, and research professionals in the biological, physical, and social sciences, engineering, and technology.

Introduction to Statistics Through Resampling Methods and R/S-PLUS

Introduction to Statistics Through Resampling Methods and R/S-PLUS
Author: Phillip I. Good
Publisher: John Wiley & Sons
Total Pages: 244
Release: 2012-01-20
Genre: Mathematics
ISBN: 0471722499
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Stimulate learning through discovery With its emphasis on the discovery method, this book allows readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers will quickly master and learn to apply statistical methods, such as bootstrap, decision trees, and permutations, to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: Tests and estimation procedures for one, two, and multiple samples Model building Multivariate analysis Complex experimental design Throughout the text, the R programming language is used to illustrate new concepts and assist readers in completing exercises. Readers may download the freely available R programming language from the Internet or take advantage of the menu-driven S-PLUS® program. Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided: More than two hundred exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills Companion FTP site provides access to all data sets and programs discussed in the text Dozens of thought-provoking questions in the final chapter, Problem Solving, assist readers in applying statistics to address real-life problems Instructor's manual provides answers to exercises Helpful appendices include an introduction to S-PLUS® features This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited for both students and practitioners.

Common Errors in Statistics (and How to Avoid Them), 4th Edition

Common Errors in Statistics (and How to Avoid Them), 4th Edition
Author: Phillip Good
Publisher:
Total Pages: 352
Release: 2012
Genre: Mathematics
ISBN:
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Praise for Common Errors in Statistics (and How to Avoid Them) "A very engaging and valuable book for all who use statistics in any setting."--CHOICE "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." --MAA Reviews Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials. Providing a consistent level of coherency throughout, the highly readable Fourth Edition focuses on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. The authors begin with an introduction to the main sources of error and provide techniques for avoiding them. Subsequent chapters outline key methods and practices for accurate analysis, reporting, and model building. The Fourth Edition features newly added topics, including: Baseline data Detecting fraud Linear regression versus linear behavior Case control studies Minimum reporting requirements Non-random samples The book concludes with a glossary that outlines key terms, and an extensive bibliography with several hundred citations directing readers to resources for further study. Presented in an easy-to-follow style, Common Errors in Statistics, Fourth Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.

Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Introduction to Statistics Through Resampling Methods and Microsoft Office Excel
Author: Phillip I. Good
Publisher: John Wiley & Sons
Total Pages: 245
Release: 2005-07-22
Genre: Mathematics
ISBN: 0471741760
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Download Introduction to Statistics Through Resampling Methods and Microsoft Office Excel Book in PDF, ePub and Kindle

Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods, such as bootstrap, decision trees, t-test, and permutations to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: * Tests and estimation procedures for one, two, and multiple samples * Model building * Multivariate analysis * Complex experimental design Throughout the text, Microsoft Office Excel(r) is used to illustrate new concepts and assist readers in completing exercises. An Excel Primer is included as an Appendix for readers who need to learn or brush up on their Excel skills. Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided: * More than 100 exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills * Companion FTP site provides access to all data sets discussed in the text * An Instructor's Manual is available upon request from the publisher * Dozens of thought-provoking questions in the final chapter assist readers in applying statistics to solve real-life problems * Helpful appendices include an index to Excel and Excel add-in functions This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited to both students and practitioners.