Statistical Methods for the Analysis of Repeated Measurements
Language: English
Published by Springer, New York, 2002
- Hardcover
- Used
Seller: PsychoBabel & Skoob Books, Didcot, United KingdomPsychoBabel & Skoob Books
AbeBooks seller since October 6, 2003
Condition: Used - Good
£ 37.05
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Add to basketItem description from seller
Hardcover without jacket in good condition. Two small scuffs on rear board. Edges, leading corners and spine ends are worn, with abrasion at spine head. Page block and one or two index pages are marked. One dog-eared page. Minor warping to upper edges of a few pages in second half of volume. Text is clear throughout. Springer Texts in Statistics. TS.
Seller Inventory # 449432
- Title
- Statistical Methods for the Analysis of Repeated Measurements
- Author
- Davis, Charles S.
- Publisher
- Springer, New York
- Publication year
- 2002
- Condition
- Good
- Dust jacket
- No Dust Jacket
- Book Type
- Used
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0387953701
- ISBN 13
- 9780387953700
- Seller catalogs
- Research Methods/Statistics/Information Sys
"Synopsis" may belong to another edition of this title.
From the Back Cover
* Statisticians in academics, industry, and research organizations
* Scientists who design and analyze studies in which repeated measurements are obtained from each experimental unit
* Graduate students in statistics and biostatistics.
The prerequisites are knowledge of mathematical statistics at the level of Hogg and Craig (1995) and a course in linear regression and ANOVA at the level of Neter et. al. (1985).
The important features of this book include a comprehensive coverage of classical and recent methods for continuous and categorical outcome variables; numerous homework problems at the end of each chapter; and the extensive use of real data sets in examples and homework problems.
The 80 data sets used in the examples and homework problems can be downloaded from www.springer-ny.com at the list of author websites. Since many of the data sets can be used to demonstrate multiple methods of analysis, instructors can easily develop additional homework problems and exam questions based on the data sets provided. In addition, overhead transparencies produced using TeX and solutions to homework problems are available to course instructors. The overheads also include programming statements and computer output for the examples, prepared primarily using the SAS System.
Charles S. Davis is Senior Director of Biostatistics at Elan Pharmaceuticals, San Diego, California. He received an "Excellence in Continuing Education" award from the American Statistical Association in 2001 and has served as associate editor of the journals Controlled Clinical Trials and The American Statistician and as chair of the Biometrics Section of the ASA.
"About the title" may belong to another edition of this title.
PsychoBabel & Skoob Books
Didcot, United Kingdom
AbeBooks seller since October 6, 2003
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