Local Regression and Likelihood:
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Bibliographic Details
Main Author: Loader, Clive (Author)
Format: Electronic eBook
Language:English
Published: New York, NY Springer New York 1999
Series:Statistics and Computing
Subjects:
Online Access:Volltext
Item Description: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
Physical Description:1 Online-Ressource (XIV, 290 p)
ISBN:9780387227320
9780387987750
ISSN:1431-8784
DOI:10.1007/b98858

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