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Mixed Models for Data Analysts (Interdisciplinary Statistics)
Mixed Models for Data Analysts - Interdisciplinary Statistics
Author: Arunas P. Verbyla, Brian Cullis, Alison B. Smith, Robin Thompson, Sue J. Welham
Mixed model methods are useful in a variety of applications, including medicine, biostatistics, and agriculture. Mixed Models for Data Analysts balances theory and practice to illustrate and demonstrate mixed model methodology. The authors, all highly regarded researchers in the field, demonstrate the strength of the mixed model approach through...  more »
ISBN-13: 9781584882602
ISBN-10: 1584882603
Publication Date: 2/15/2009
Pages: 288
Edition: 1
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Publisher: Chapman & Hall/CRC
Book Type: Hardcover
Members Wishing: 0
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