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Local Regression and Likelihood on Hardback by Clive Loader
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Local Regression and Likelihood

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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.
Release date NZ
July 30th, 1999
Author
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
Illustrations
XIV, 290 p.
Pages
290
Dimensions
156x234x19
ISBN-13
9780387987750
Product ID
2527847

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