Analysis of Variance for Random Models: Volume I: Balanced Data Theory, Methods, Applications and Data Analysis

Sahai, Hardeo; Ojeda, Mario M.

ANOVA models involving random effects have found widespread application to experimental design in varied fields such as biology, econometrics, and engineering. Volume I of this two-part work is a comprehensive presentation of methods and techniques for point estimation, interval estimation, and hypotheses tests for linear models involving random effects. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (non-orthogonal models).

Accessible to readers with a modest mathematical and statistical background, the work will appeal to a broad audience of graduate students, researchers, and practitioners. It can be used as a graduate text or as a self-study reference.

Details

Published by: Birkhäuser

Publication Date: 2013-03-12

Format: Paperback

ISBN-13: 9781461264705

DOI: 10.1007/978-0-8176-8168-5

Dimensions: 235cm x155cm

Pages: 484