Description du livre Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory. The approach used is a geometrical one based on the concept of projections and their associated idempotent matrices, thus largely avoiding the need to involvematrix ranks. It is shown that all the hypotheses encountered are either linear or asymptotically linear, and that all the underlying models used are either exactly or asymptotically linear normal models. This equivalence can be used, for example, to extend the concept of orthogonality to other models in the analysis of variance, and to show that the asymptotic equivalence of the likelihood ratio, Wald, and Score (Lagrange Multiplier) hypothesis tests generally applies. 216 pp. Englisch. N� de r�f. du vendeur 9783319219295

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The Linear Model and Hypothesis: A General Unifying Theory (Springer Series in Statistics)

Seber, George

Edit� par Springer (2015)

ISBN 10 : 3319219294 ISBN 13 : 9783319219295

Neuf Couverture rigide Quantit� disponible : > 20

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Description du livre Etat : New. N� de r�f. du vendeur I-9783319219295

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The Linear Model and Hypothesis: A General Unifying Theory

Seber, George A.F. (Author)

Edit� par Springer (2015)

ISBN 10 : 3319219294 ISBN 13 : 9783319219295

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Revaluation Books
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Description du livre Hardcover. Etat : Brand New. 216 pages. 9.25x6.25x0.50 inches. In Stock. N� de r�f. du vendeur x-3319219294

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The Linear Model and Hypothesis : A General Unifying Theory

George Seber

Edit� par Springer International Publishing (2015)

ISBN 10 : 3319219294 ISBN 13 : 9783319219295

Neuf Couverture rigide Quantit� disponible : 1

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AHA-BUCH GmbH
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Description du livre Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory. The approach used is a geometrical one based on the concept of projections and their associated idempotent matrices, thus largely avoiding the need to involvematrix ranks. It is shown that all the hypotheses encountered are either linear or asymptotically linear, and that all the underlying models used are either exactly or asymptotically linear normal models. This equivalence can be used, for example, to extend the concept of orthogonality to other models in the analysis of variance, and to show that the asymptotic equivalence of the likelihood ratio, Wald, and Score (Lagrange Multiplier) hypothesis tests generally applies. N� de r�f. du vendeur 9783319219295

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The Linear Model and Hypothesis

George Seber

Edit� par Springer International Publishing (2015)

ISBN 10 : 3319219294 ISBN 13 : 9783319219295

Neuf Couverture rigide Quantit� disponible : > 20

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Description du livre Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a concise and unique overview of hypothesis testing in four important statistical subject areas: linear and nonlinear models, multivariate analysis, and large sample theoryShows that all hypotheses are linear or asymptotically so, . N� de r�f. du vendeur 34798719

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