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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Taschenbuch. Etat : 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. N° de réf. du vendeur 9781475772586
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Etat : 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. N° de réf. du vendeur 4207759
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Taschenbuch. Etat : Neu. Local Regression and Likelihood | Catherine Loader | Taschenbuch | Statistics and Computing | xiv | Englisch | 2013 | Springer | EAN 9781475772586 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 105321872
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 308 pp. Englisch. N° de réf. du vendeur 9781475772586
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9781475772586
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