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

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


Hardeo Sahai

Paperback. Birkhäuser 2013-10-03.
ISBN 9781461264705
Buy from Amazon.co.uk







Publisher description

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



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