Statistical Theory and Inference - Couverture rigide

Olive, David J.

9783319049717: Statistical Theory and Inference

Couverture rigide

ISBN 10 : 3319049712 ISBN 13 : 9783319049717

Editeur : Springer International Publishing AG, 2014

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This textbook for a one semester graduate course in statistical theory uses exponential families, indicator functions and the support of the distribution to help make the material more accessible to students. Includes homework problems with solutions.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l'auteur

David Olive is an Associate Professor in the Department of Mathematics at Southern Illinois University.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer International Publishing AG
Date d'�dition: 2014
Langue: anglais
ISBN 10: 3319049712
ISBN 13: 9783319049717
Reliure: Reli�
Nombre de pages: 446
Coordonn�es du fabricant: ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Allemagne

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�tat : Tr�s bon

446 pp. Very well preserved copy...

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Olive, David J.:

Edit� par Springer, 2014

ISBN 10 : 3319049712 ISBN 13 : 9783319049717

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Statistical Theory and Inference

David J. Olive

Edit� par Springer International Publishing Mai 2014, 2014

ISBN 10 : 3319049712 ISBN 13 : 9783319049717

Neuf Couverture rigide

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Statistical Theory and Inference (Hardcover)

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Edit� par Springer International Publishing AG, Cham, 2014

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Statistical Theory and Inference

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Statistical Theory and Inference

Olive, David J.

Edit� par Springer, 2014

ISBN 10 : 3319049712 ISBN 13 : 9783319049717

Ancien ou d'occasion Couverture rigide

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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 448 | Sprache: Englisch | Produktart: B�cher | This text is for�a one semester graduate course in statistical theory and covers minimal and complete sufficient statistics, maximum likelihood estimators, method of moments, bias and mean square error, uniform minimum variance estimators and the Cramer-Rao lower bound, an introduction to large sample theory, likelihood ratio tests and uniformly most powerful tests and the Neyman Pearson Lemma. A major goal of this text is to make these topics much more accessible to students by using the theory of exponential families.Exponential families, indicator functions and the support of the distribution are used throughout the text to simplify the theory. More than 50 ``brand name" distributions are used to illustrate the theory with many examples of exponential families, maximum likelihood estimators and uniformly minimum variance unbiased estimators. There are many homework problems with over 30 pages of solutions. N� de r�f. du vendeur 24746332/12

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Statistical Theory and Inference

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Statistical Theory and Inference

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