Applied Statistics: Analysis of Variance and Regression / Edition 3

Applied Statistics: Analysis of Variance and Regression / Edition 3

by Ruth M. Mickey, Olive Jean Dunn, Virginia A. Clark
     
 

The Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

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Overview

The Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

". . . overall this is an excellent book . . . I recommend this book to everyone . . ."
Statistical Methods in Medical Research

". . . it contains a wealth of useful up-to-date information and examples from the health sciences."
Technometrics

Applied Statistics: Analysis of Variance and Regression, Third Edition has been thoroughly revised to provide a comprehensive and up-to-date combination of sound statistical methodology, practical advice on the application of this methodology, and interpretation of output from statistical programs. Special features include comprehensive treatment of each topic, from summarization of data to presentation of results; a greater emphasis on regression, data screening, and confidence intervals; in-depth discussion of design-related topics such as mixed models and random effects; and overviews of more advanced topics. This valuable, self-contained textbook is eminently suitable for upper-undergraduate/graduate students and applied researchers with an interest in ANOVA techniques.

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Product Details

ISBN-13:
9780470571255
Publisher:
Wiley
Publication date:
12/02/2009
Series:
Wiley Series in Probability and Statistics Series, #836
Pages:
480
Product dimensions:
9.21(w) x 6.14(h) x 0.96(d)

Related Subjects

Meet the Author

RUTH M. MICKEY, PHD, is Professor of Statistics at the University of Vermont in Burlington.

OLIVE JEAN DUNN, PHD, is Professor Emeritus at the University of California, Los Angeles.

VIRGINIA A. CLARK, PHD, is also Professor Emeritus at the University of California, Los Angeles. Drs. Dunn and Clark are the authors of Basic Statistics: A Primer for Biomedical Sciences, Third Edition, published by Wiley.

Table of Contents

Preface
1Data Screening1
2One-Way Analysis of Variance Design33
3Estimation and Simultaneous Inference73
4Hierarchical or Nested Design95
5Two Crossed Factors: Fixed Effects and Equal Sample Sizes117
6Randomized Complete Block Design143
7Two Crossed Factors: Fixed Effects and Unequal Sample Sizes163
8Crossed Factors: Mixed Models183
9Repeated Measures Designs203
10Linear Regression: Fixed X Model229
11Linear Regression: Random X Model and Correlation265
12Multiple Regression301
13Multiple and Partial Correlation331
14Miscellaneous Topics in Regression351
15Analysis of Covariance375
16Summaries, Extensions, and Communication403
App. A409
App. B425
Index443

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