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Local Regression and Likelihood : Statistics and Computing - Clive Loader

Local Regression and Likelihood

Statistics and Computing

Hardcover Published: 30th July 1999
ISBN: 9780387987750
Number Of Pages: 290

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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.

Univariate Local Regression
Multivariate Local Regression
Local Likelihood Estimation
Density Estimation
LOCFIT: Some additional methods Survival and Failure Time Analysis
Discrimination and Classification
Goodness of Fit
Bandwidth Selection
Adaptive Parameter Choice
Computational Methods
Asymptotic Theory
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780387987750
ISBN-10: 0387987754
Series: Statistics and Computing
Audience: General
Format: Hardcover
Language: English
Number Of Pages: 290
Published: 30th July 1999
Publisher: Springer-Verlag New York Inc.
Country of Publication: US
Dimensions (cm): 24.18 x 16.18  x 1.93
Weight (kg): 0.54