£81.52

Springer Local Regression and Likelihood (Statistics and Computing)

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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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 July 1999
Listed Since
22 January 2007

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