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Synopsis
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.
"synopsis" may belong to another edition of this title.
Synopsis
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.
"About this title" may belong to another edition of this title.
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Local Regression and Likelihood
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Springer New York, 1999
ISBN 10: 0387987754
ISBN 13: 9780387987750
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Local Regression and Likelihood (Statistics and Computing)
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Local Regression and Likelihood
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