Items related to Local Regression and Likelihood (Statistics and Computing)
Synopsis
Smoothing methods play an important role in many areas of statistics. This book explains how to implement these methods in several popular statistical programs including S-PLUS.
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Local Regression and Likelihood (Statistics and Computing)
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Local Regression and Likelihood
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Springer-Verlag New York Inc., 2013
ISBN 10: 1475772580
ISBN 13: 9781475772586
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Local Regression and Likelihood
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to local likelihood and density estimation. Basic theoretical results and diagnostic tools such as cross validation are introduced along the way. Examples illustrate the implementation of the methods using the LOCFIT software. Seller Inventory # 9781475772586
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Local Regression and Likelihood
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate an. Seller Inventory # 4207759
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Local Regression and Likelihood
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Springer New York Sep 2013, 2013
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ISBN 13: 9781475772586
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to local likelihood and density estimation. Basic theoretical results and diagnostic tools such as cross validation are introduced along the way. Examples illustrate the implementation of the methods using the LOCFIT software. 290 pp. Englisch. Seller Inventory # 9781475772586
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Local Regression and Likelihood (Statistics and Computing)
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Local Regression and Likelihood
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Local Regression and Likelihood
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Springer New York, Springer New York Sep 2013, 2013
ISBN 10: 1475772580
ISBN 13: 9781475772586
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to local likelihood and density estimation. Basic theoretical results and diagnostic tools such as cross validation are introduced along the way. Examples illustrate the implementation of the methods using the LOCFIT software.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch. Seller Inventory # 9781475772586
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Local Regression and Likelihood
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Local Regression and Likelihood
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Condition: New. Series: Statistics and Computing. Num Pages: 290 pages, biography. BIC Classification: KF; PBT; UFM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 17. Weight in Grams: 474. . 2013. Softcover reprint of the original 1st ed. 1999. paperback. . . . . Seller Inventory # V9781475772586
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