Applied Statistics

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Analysis of Variance and Regression, Wiley Series in Probability and Statistics

ISBN: 047137038X
ISBN 13: 9780471370383
Autor: Mickey, Ruth M/Dunn, Olive Jean/Clark, Virginia A
Verlag: Wiley-VCH GmbH
Umfang: 448 S.
Erscheinungsdatum: 05.03.2004
Auflage: 3/2004
Produktform: Gebunden/Hardback
Einband: GEB

A valuable new edition of a standard in the field of statistics For the everincreasing 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 uptodate 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 * Indepth discussion of designrelated 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.

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Beschreibung

This work has been thoughtfully designed so that it serves equally well as a reference for the practitioner and as a self-contained textbook for the advanced student. * Rewritten to maintain clarity and brevity while expanding the coverage of previous editions. * Changes to design-related topics include increased discussion of mixed models and random effects, greater emphasis on regression and data screening, and more use of graphs throughout. * Includes both graded and challenging exercises. * Liberal computer discussions now supplemented with SAS and SPSS.

Autorenporträt

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.

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