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Add to basketCondition: New. pp. 276 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Add to basketHardcover. Condition: Brand New. 2nd edition. 343 pages. 9.50x6.25x1.00 inches. In Stock.
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Add to basketGebunden. Condition: New. Concentrates on two major classes of mixed effects models, linear mixed models and generalized linear mixed modelsOffers an up-to-date account of theory and methods in the analysis of these models as well as their applications in various fields.
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Add to basketPaperback. Condition: Brand New. 271 pages. 9.00x6.00x0.63 inches. In Stock.
Published by Springer New York Mär 2007, 2007
ISBN 10: 0387479414 ISBN 13: 9780387479415
Language: English
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Add to basketBuch. Condition: Neu. Neuware - Over the past decade there has been an explosion of developments in mixed e ects models and their applications. This book concentrates on two major classes of mixed e ects models, linear mixed models and generalized linear mixed models, with the intention of o ering an up-to-date account of theory and methods in the analysis of these models as well as their applications in various elds. The rst two chapters are devoted to linear mixed models. We classify l- ear mixed models as Gaussian (linear) mixed models and non-Gaussian linear mixed models. There have been extensive studies in estimation in Gaussian mixed models as well as tests and con dence intervals. On the other hand, the literature on non-Gaussian linear mixed models is much less extensive, partially because of the di culties in inference about these models. However, non-Gaussian linear mixed models are important because, in practice, one is never certain that normality holds. This book o ers a systematic approach to inference about non-Gaussian linear mixed models. In particular, it has included recently developed methods, such as partially observed information, iterative weighted least squares, and jackknife in the context of mixed models. Other new methods introduced in this book include goodness-of- t tests, p- diction intervals, and mixed model selection. These are, of course, in addition to traditional topics such as maximum likelihood and restricted maximum likelihood in Gaussian mixed models.
Published by Springer, 2007
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Published by Springer-Verlag New York Inc., 2022
ISBN 10: 1071612840 ISBN 13: 9781071612842
Language: English
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 184.
Published by Springer-Verlag New York Inc., 2021
ISBN 10: 1071612816 ISBN 13: 9781071612811
Language: English
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 184.