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Local Regression and Likelihood

Local Regression and Likelihood
Catalogue Information
Field name Details
Dewey Class 519.2
Title Local Regression and Likelihood ([EBook] /) / by Clive Loader.
Author Loader, Clive
Other name(s) SpringerLink (Online service)
Publication New York, NY : : Springer New York, , 1999.
Physical Details XIV, 290 p. : online resource.
Series Statistics and computing 1431-8784
ISBN 9780387227320
Summary Note 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.:
Contents note The Origins of Local Regression -- Local Regression Methods -- Fitting with LOCFIT -- Local Likelihood Estimation -- Density Estimation -- Flexible Local Regression -- Survival and Failure Time Analysis -- Discrimination and Classification -- Variance Estimation and Goodness of Fit -- Bandwidth Selection -- Adaptive Parameter Choice -- Computational Methods -- Optimizing Local Regression.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site http://dx.doi.org/10.1007/b98858
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