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9781461448174: Essential Statistical Inference: Theory and Methods

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ISBN 10 : 1461448174 ISBN 13 : 9781461448174
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Essential Statistical Inference: Theory and Methods (Springer Texts in Statistics, 120)

Boos, Dennis D. D.; Stefanski, L A

Edit� par Springer, 2015

ISBN 10 : 1489987932 ISBN 13 : 9781489987938

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paperback. Etat : Good. May contain marks and or highlighting. Used items are NOT guaranteed to include components, i.e. CDs, Access codes, etc. Ships from our Kentucky facility. Ships same day if ordered before 1 PM EST, Monday - Friday. Contact us with any questions! N� de r�f. du vendeur 264217-1

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Essential Statistical Inference

L A Stefanski

Edit� par Springer New York, Springer US M�r 2015, 2015

ISBN 10 : 1489987932 ISBN 13 : 9781489987938

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems.An important goal has been to make the topics accessible to a wide audience, with little overt reliance on measure theory. A typical semester course consists of Chapters 1-6 (likelihood-based estimation and testing, Bayesian inference, basic asymptotic results) plus selections from M-estimation and related testing and resampling methodology.Dennis Boos and Len Stefanski are professors in the Department of Statistics at North Carolina State. Their research has been eclectic, often with a robustness angle, although Stefanski is also known for research concentrated on measurement error, including a co-authored book on non-linear measurement error models. In recent years the authors have jointly worked on variable selection methods. 588 pp. Englisch. N� de r�f. du vendeur 9781489987938

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Essential Statistical Inference

Dennis D. Boos|L A Stefanski

Edit� par Springer New York, 2015

ISBN 10 : 1489987932 ISBN 13 : 9781489987938

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Valuable text for graduate students and reference for researchersContains R code throughout the text and in sample problems Includes unique page references to equation displaysDennis Boos and Len Stefanski are professors in the Depa. N� de r�f. du vendeur 447929900

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Essential Statistical Inference : Theory and Methods

Boos, Dennis D; Stefanski, Leonard a

Edit� par Springer, 2015

ISBN 10 : 1489987932 ISBN 13 : 9781489987938

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Essential Statistical Inference : Theory and Methods

Boos, Dennis D; Stefanski, Leonard a

Edit� par Springer, 2015

ISBN 10 : 1489987932 ISBN 13 : 9781489987938

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Essential Statistical Inference : Theory and Methods

L A Stefanski

Edit� par Springer New York, Springer US, 2015

ISBN 10 : 1489987932 ISBN 13 : 9781489987938

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems.An important goal has been to make the topics accessible to a wide audience, with little overt reliance on measure theory. A typical semester course consists of Chapters 1-6 (likelihood-based estimation and testing, Bayesian inference, basic asymptotic results) plus selections from M-estimation and related testing and resampling methodology.Dennis Boos and Len Stefanski are professors in the Department of Statistics at North Carolina State. Their research has been eclectic, often with a robustness angle, although Stefanski is also known for research concentrated on measurement error, including a co-authored book on non-linear measurement error models. In recent years the authors have jointly worked on variable selection methods. N� de r�f. du vendeur 9781489987938