Applied Statistics

Analysis of Variance and Regression

Ruth M. Mickey, Olive Jean Dunn, Virginia A. Clark - Collection Wiley Series in Probability and Statistics

456 pages, parution le 23/03/2004 (3^eme édition)

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Résumé

A valuable new edition of a standard in the field of statistics

For the ever-increasing number of practitioners who must perform sophisticated statistical analyses on computers, Applied Statistics: Analysis of Variance and Regression has long been a standard reference and text. This new 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 of this edition include:

A highly readable text, with mathematical background kept at a low level
Comprehensive treatment of each topic, from summarization of data to presentation of results
Careful explanation of assumptions, how to check if the data meet them, and what to do if they don't
A greater emphasis on regression, data screening, and confidence intervals
In-depth discussion of design-related topics such as mixed models and random effects
Graded and challenging exercises at the end of each chapter and on the Wiley ftp site
Overviews of more advanced topics
An extensively revised chapter on repeated measures designs

Eminently suitable for students and researchers who may not have a calculus background as well as for more advanced practitioners, this self-contained, comprehensive treatment of variance and regression analysis readies a new generation of researchers for the demands of this growing field.

L'auteur - Ruth M. Mickey

Ruth M. Mickey, PHD, is Professor of Statistics at the University of Vermont in Burlington.

L'auteur - Olive Jean Dunn

Olive Jean Dunn, PHD, is Professor Emeritus at the University of California, Los Angeles.

L'auteur - Virginia A. Clark

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.

Sommaire

Data Screening
One-Way Analysis of Variance Design
Estimation and Simultaneous Inference
Hierarchical or Nested Design
Two Crossed Factors: Fixed Effects and Equal Sample Sizes
Randomized Complete Block Design
Two Crossed Factors: Fixed Effects and Unequal Sample Sizes
Crossed Factors: Mixed Models
Repeated Measures Designs
Linear Regression: Fixed X Model
Linear Regression: Random X Model and Correlation
Multiple Regression
Multiple and Partial Correlation
Miscellaneous Topics in Regression
Analysis of Covariance
Summaries, Extensions, and Communication
Appendixes

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Ruth M. Mickey, Olive Jean Dunn, Virginia A. Clark
Collection	Wiley Series in Probability and Statistics
Parution	23/03/2004
Édition	3^eme édition
Nb. de pages	456
Format	16 x 24
Couverture	Relié
Poids	790g
Intérieur	Noir et Blanc
EAN13	9780471370383
ISBN13	978-0-471-37038-3