Titre : | Common errors in statistics (and how to avoid them) |
Auteurs : | Philip i. Good ; James w. Hardin |
Type de document : | Books |
Mention d'édition : | 4th ed. |
Editeur : | Hoboken (New Jersey) [United States] : Wiley publisher, 2012 |
Article en page(s) : | XIV, 336 p. |
Collection : | Wiley |
ISBN/ISSN/EAN : | 978-1-118-29439-0 |
Langues: | Anglais |
Index. décimale : | 519.5 |
Tags : | Statistics |
Résumé : |
"The Fourth Edition of this tried-and-true book elaborates on many key topics such as epidemiological studies, distribution of data; baseline data incorporation; case control studies; simulations; statistical theory publication; biplots; instrumental variables; ecological regression; result reporting, survival analysis; etc. Including new modifications and figures, the book also covers such topics as research plan creation; data collection; hypothesis formulation and testing; coefficient estimates; sample size specifications; assumption checking; p-values interpretations and confidence intervals; counts and correlated data; model building and testing; Bayes’ Theorem; bootstrap and permutation tests; and more" Phillip I. Good, PhD, is Operations Manager at Information Research, a consulting firm specializing in statistical solutions for private and public organizations. He as published more than thirty scholarly works and more than 600 popular articles. Dr. Good is the author of Introduction tio Statistics Through Resampling Methods and R/S-PLUS, Introduction tot Statistics Through Resampling Methods and Microsoft Office Excel, and Analyzing the Large Number of Variables in biodmedical and Satellite Imagery, all publischedby Wiley. James W. Hardin, PhD, is Associate Professor and Biostatistics Division Director of the Department of Epidemiology and Biostatistics at het University of south Carolina. Dr. Hardin has published extensively in his areas of research interest, which include generalized linear models, generalized estimating equations, survival models, and computational statistics. He is also an affiliate faculty member of the Institute for Families in Society at the University of South Carolina. |
En ligne : | http://lccn.loc.gov/2012005888 |
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Code-barres | Cote | Support | Localisation | Section | Disponibilité |
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301636 | XXX.1636 | Book | Royal Military Academy | Mathematics | Disponible |