Generalized, linear, and mixed models /
Wiley Series in Probability and StatisticsA modern perspective on mixed modelsThe availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into the mainstream of statistical application. This volume offers a modern perspective on generalized, linear,...
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| Format: | eBook |
| Language: | English |
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New York :
John Wiley & Sons,
2001.
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| Series: | Wiley series in probability and statistics. Applied probability and statistics.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | Wiley Series in Probability and StatisticsA modern perspective on mixed modelsThe availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into the mainstream of statistical application. This volume offers a modern perspective on generalized, linear, and mixed models, presenting a unified and accessible treatment of the newest statistical methods for analyzing correlated, nonnormally distributed data. As a follow-up to Searle's classic, Linear Models, and Variance Components by Searle, Casella, and McCulloch, this new work progresses. |
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| Physical Description: | 1 online resource (xxi, 325 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0471654043 9780471654049 0471722073 9780471722076 |