Regression Estimators Comparative Study by Gruber Marvin (15 results)
Language: English
Published by Johns Hopkins University Press, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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Language: English
Published by Johns Hopkins University Press, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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Language: English
Published by Johns Hopkins University Press, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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Condition: New. With more than 150 exercises, Regression Estimators is a valuable resource for graduate students and professional statisticians. Num Pages: 424 pages, 5, 5 black & white line drawings. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 229 x 152 x 28. Weight in Grams: 681. . 2010. hardcover. . . . . Books ship from the US and Ireland.…
Language: English
Published by Johns Hopkins University Press, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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Condition: New. With more than 150 exercises, Regression Estimators is a valuable resource for graduate students and professional statisticians. Num Pages: 424 pages, 5, 5 black & white line drawings. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 229 x 152 x 28. Weight in Grams: 681. . 2010. hardcover. . . . .…
Language: English
Published by Johns Hopkins University Press, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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hardcover. Condition: Very Good. no dust jacket as issued price sticker on flyleaf No dust jacket. Very Good hardcover with light shelfwear - NICE! Standard-sized.
Language: English
Published by Johns Hopkins University Press, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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Language: English
Published by Academic Press, 2014
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Softcover
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Language: English
Published by Johns Hopkins University Press, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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Language: English
Published by Johns Hopkins University Press, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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Language: English
Published by Johns Hopkins University Press, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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Language: English
Published by Johns Hopkins University Press, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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Language: English
Published by Johns Hopkins University Press, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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Condition: New. In English.
Language: English
Published by Johns Hopkins Univ Pr, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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Hardcover. Condition: Brand New. 2nd edition. 384 pages. 8.90x6.10x1.10 inches. In Stock.
Language: English
Published by JOHNS HOPKINS UNIV PR, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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Gebunden. Condition: New. With more than 150 exercises, Regression Estimators is a valuable resource for graduate students and professional statisticians.Über den AutorMarvin H. J. Gruber is a professor of mathematics and statistics at the Rochest.
Language: English
Published by Johns Hopkins University Press Aug 2010, 2010
Series: Book 6 of 12 - Statistical Modeling and Decision Science
- Hardcover
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Buch. Condition: Neu. Neuware - An examination of mathematical formulations of ridge-regression-type estimators points to a curious observation: estimators can be derived by both Bayesian and Frequentist methods. In this updated and expanded edition of his 1990 treatise on the subject, Marvin H. J. Gruber presents, compares, and contrasts the development and properties of ridge-type estimators from these two philosophically different points of view. The book is organized into five sections. Part I gives a historical survey of the literature and summarizes basic ideas in matrix theory and statistical decision theory. Part II explores the mathematical relationships between estimators from both Bayesian and Frequentist points of view. Part III considers the efficiency of estimators with and without averaging over a prior distribution. Part IV applies the methods and results discussed in the previous two sections to the Kalman Filter, analysis of variance models, and penalized splines. Part V surveys recent developments in the field. These include efficiencies of ridge-type estimators for loss functions other than squared error loss functions and applications to information geometry. Gruber also includes an updated historical survey and bibliography. With more than 150 exercises, Regression Estimators is a valuable resource for graduate students and professional statisticians. …
