Local Regression and Likelihood
Clive Loader
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.
种类:
年:
1999
出版:
1
出版社:
Springer
语言:
english
页:
302
ISBN 10:
0387987754
ISBN 13:
9780387987750
系列:
Statistics and Computing
文件:
PDF, 1.33 MB
IPFS:
,
english, 1999
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