Robust Mixed Model Analysis
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Book Overview Mixed-effects models have found broad applications in various fields. As a result, the interest in learning and using these models is rap...
Mixed-effects models have found broad applications in various fields. As a result, the interest in learning and using these models is rapidly growing. On the other hand, some of these models, such as the linear mixed models and generalized linear mixed models, are highly parametric, involving distributional assumptions that may not be satisfied in real-life problems. Therefore, it is important, from a practical standpoint, that the methods of inference about these models are robust to violation of model assumptions. Fortunately, there is a full scale of methods currently available that are robust in certain aspects. Learning about these methods is essential for the practice of mixed-effects models.
This research monograph provides a comprehensive account of methods of mixed model analysis that are robust in various aspects, such as to violation of model assumptions, or to outliers. It is suitable as a reference book for a practitioner who uses the mixed-effects models, and a researcher who studies these models. It can also be treated as a graduate text for a course on mixed-effects models and their applications.
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Book Details Format: Hardcover | Pages: 256 | Language: English | Publisher: WORLD SCIENTIFIC PUB CO INC | ISBN: 9814733830
FormatHardcover
Pages256
LanguageEnglish
ISBN9814733830
EAN9789814733830
PublisherWORLD SCIENTIFIC PUB CO INC
Publication Date1970-01-01
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeHARD COVER BOOKS
Weight1.17 Pounds
Length9.0 Inches
Width6.0 Inches
Height0.63 Inches
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