Local Regression and Likelihood (Statistics and Computing)

Local Regression and Likelihood (Statistics and Computing)

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Book Description
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.

Book Info
Provides an overview of the theory, methods, and application of local regression and likelihood. Emphasizes local regression as a generalization of standard least squares and liklihood methods. DLC: Regression analysis.

Local Regression and Likelihood (Statistics and Computing),Clive Loader,Springer,0387987754,Applied,Estimation theory,Mathematics,Probability & Statistics - General,Regression Analysis,Science/Mathematics,Density Estimation,Local Likelihood,Local Regression,Mathematics / Statistics

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