Lingua: Inglese
Editore: World Scientific Publishing Co, 2019
ISBN 10: 9814733830 ISBN 13: 9789814733830
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Lingua: Inglese
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ISBN 10: 9814733830 ISBN 13: 9789814733830
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ISBN 10: 9814733830 ISBN 13: 9789814733830
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Lingua: Inglese
Editore: World Scientific Publishing Co, 2019
ISBN 10: 9814733830 ISBN 13: 9789814733830
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Lingua: Inglese
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ISBN 10: 9814733830 ISBN 13: 9789814733830
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Lingua: Inglese
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ISBN 10: 9814733830 ISBN 13: 9789814733830
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Lingua: Inglese
Editore: World Scientific Publishing Co, 2019
ISBN 10: 9814733830 ISBN 13: 9789814733830
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Lingua: Inglese
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ISBN 10: 9814733830 ISBN 13: 9789814733830
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Lingua: Inglese
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Lingua: Inglese
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ISBN 10: 9814733830 ISBN 13: 9789814733830
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ISBN 10: 9814733830 ISBN 13: 9789814733830
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Aggiungi al carrelloHardback. Condizione: New. 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.
Lingua: Inglese
Editore: World Scientific Pub Co Inc, 2019
ISBN 10: 9814733830 ISBN 13: 9789814733830
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Lingua: Inglese
Editore: World Scientific Publishing Co, 2019
ISBN 10: 9814733830 ISBN 13: 9789814733830
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Lingua: Inglese
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ISBN 10: 9814733830 ISBN 13: 9789814733830
Da: Rarewaves.com UK, London, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. 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.
Da: moluna, Greven, Germania
EUR 97,73
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mixed-effects models have found broad applications in various fields. As a result, the interest in learning and using these models is rapidly growing.KlappentextrnrnMixed-effects models have found broad applications in various fields. As a r.
Da: preigu, Osnabrück, Germania
EUR 101,35
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Aggiungi al carrelloBuch. Condizione: Neu. ROBUST MIXED MODEL ANALYSIS | Jiang Jiming | Buch | Gebunden | Englisch | 2019 | World Scientific | EAN 9789814733830 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 121,10
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.Sample Chapter(s).