Good / Hardin Common Errors in Statistics (and How to Avoid Them)

4. Auflage 2012
ISBN: 978-1-118-36011-8
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 352 Seiten, E-Book

Praise for Common Errors in Statistics (and How to AvoidThem)
"A very engaging and valuable book for all who use statistics inany setting."
--CHOICE
"Addresses popular mistakes often made in data collection andprovides an indispensable guide to accurate statistical analysisand reporting. The authors' emphasis on careful practice, combinedwith a focus on the development of solutions, reveals the truevalue of statistics when applied correctly in any area ofresearch."
--MAA Reviews
Common Errors in Statistics (and How to Avoid Them), FourthEdition provides a mathematically rigorous, yet readilyaccessible foundation in statistics for experienced readers as wellas students learning to design and complete experiments, surveys,and clinical trials.
Providing a consistent level of coherency throughout, the highlyreadable Fourth Edition focuses on debunking popular myths,analyzing common mistakes, and instructing readers on how to choosethe appropriate statistical technique to address their specifictask. The authors begin with an introduction to the main sources oferror and provide techniques for avoiding them. Subsequent chaptersoutline key methods and practices for accurate analysis, reporting,and model building. The Fourth Edition features newly addedtopics, 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, andan extensive bibliography with several hundred citations directingreaders to resources for further study.
Presented in an easy-to-follow style, Common Errors inStatistics, Fourth Edition is an excellent book for studentsand professionals in industry, government, medicine, and the socialsciences.

Autoren/Hrsg.

Good, Phillip I.

Hardin, James W.

Über Autor(innen)

PHILLIP I. GOOD, PhD, is Operations Manager atInformation Research, a consulting firm specializing in statisticalsolutions for private and public organizations. He has publishedmore than thirty scholarly works and more than 600 populararticles. Dr. Good is the author of Introduction to StatisticsThrough Resampling Methods and R/S-PLUS®, Introduction toStatistics Through Resampling Methods and Microsoft OfficeExcel®, and Analyzing the Large Number of Variables inBiomedical and Satellite Imagery, all published by Wiley.
JAMES W. HARDIN, PhD, is Associate Professor andBiostatistics Division Director of the Department of Epidemiologyand Biostatistics at the University of South Carolina. Dr. Hardinhas published extensively in his areas of research interest, whichinclude generalized linear models, generalized estimatingequations, survival models, and computational statistics. He isalso an affiliate faculty member of the Institute for Families inSociety at the University of South Carolina.