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Local Regression and Likelihood
Clive Loader
€ 211.04
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Description for Local Regression and Likelihood
Hardback. Smoothing methods play an important role in many areas of statistics. This book explains how to implement these methods in several popular statistical programs including S-PLUS. Series: Statistics and Computing. Num Pages: 290 pages, biography. BIC Classification: PBT; UF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 19. Weight in Grams: 1350.
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.
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 Details
Format
Hardback
Publication date
1999
Publisher
Springer-Verlag New York Inc. United States
Number of pages
290
Condition
New
Series
Statistics and Computing
Number of Pages
290
Place of Publication
New York, NY, United States
ISBN
9780387987750
SKU
V9780387987750
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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