Statistical Theory and Inference - Couverture souple

Olive, David J.

9783319375892: Statistical Theory and Inference

Couverture souple

ISBN 10 : 331937589X ISBN 13 : 9783319375892

Editeur : Springer, 2016

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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.

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
Date d'�dition: 2016
Langue: anglais
ISBN 10: 331937589X
ISBN 13: 9783319375892
Reliure: Broch�
Nombre de pages: 448
Coordonn�es du fabricant: non disponible
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ISBN 10 : 3319049712 ISBN 13 : 9783319049717
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Statistical Theory and Inference

David J. Olive

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ISBN 10 : 331937589X ISBN 13 : 9783319375892

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Statistical Theory and Inference

David J. Olive

Edit� par Springer International Publishing, 2016

ISBN 10 : 331937589X ISBN 13 : 9783319375892

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 9783319375892

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Statistical Theory and Inference

David J. Olive

Edit� par Springer International Publishing Sep 2016, 2016

ISBN 10 : 331937589X ISBN 13 : 9783319375892

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 448 pp. Englisch. N� de r�f. du vendeur 9783319375892

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Statistical Theory and Inference

David J. Olive

Edit� par Springer International Publishing, Springer Nature Switzerland Sep 2016, 2016

ISBN 10 : 331937589X ISBN 13 : 9783319375892

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Neuware -This text is fora 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 448 pp. Englisch. N� de r�f. du vendeur 9783319375892

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