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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
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Separation of signal from noise is the most fundamental problem in data analysis, arising in such fields as: signal processing, econometrics, actuarial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, with extensions to local likelihood and density estimation. Practical information is also included on how to implement these methods in the programs S-PLUS and LOCFIT.

Introduction
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: Professional
Format: Hardcover
Language: English
Number Of Pages: 290
Published: 30th July 1999
Publisher: Springer-Verlag New York Inc.
Country of Publication: US
Dimensions (cm): 24.13 x 15.88  x 1.91
Weight (kg): 0.54