1st Edition
Local Polynomial Modelling and Its Applications Monographs on Statistics and Applied Probability 66
358 Pages
by
Chapman & Hall
360 Pages
by
Routledge
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Data-analytic approaches to regression problems, arising from many scientific disciplines are described in this book. The aim of these nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the data well. The use of these nonparametric functions with parametric techniques can yield very powerful data... Read more
Introduction. Overview of Existing Methods. Framework for Local Polynomial regression. Automatic Determination of Model Complexity. .Applications of Local Polynomial Modeling. Applications in Nonlinear Time Series. Local Polynomial Regression for Multivariate Data. Reference. Index.
Biography
Jianqing Fan
