Local Polynomial Modelling and Its Applications

Autorentext
Jianqing Fan

Klappentext
Local Polynomial Modelling and Its Applications describes data-analytic approaches to regression problems encountered in many scientific disciplines. These nonparametric methods are powerful in exploring fine structural relationships and yield useful diagnostic tools for parametric models. The authors emphasize methodologies rather than on theory, present high-dimensional data-analytic tools, and furnish a variety of examples. This is a valuable reference for research and applied statisticians and serves particularly well as a textbook for graduate students and others interested in nonparametric regression.

Zusammenfassung
This text looks at data-analytic approaches to regression problems arising from many scientific disciplines. The aim of these methods is to relax assumptions on the form of a regression function and to let data search for a suitable function. The available data is also described.

Inhalt
Preface, l. Introduction, 2. Overview of existing methods, 3. Framework for local polynomial regression, 4. Automatic determination of model complexity, 5. Applications of local polynomial modelling, 6. Applications in nonlinear time series, 7. Local polynomial regression for multivariate data, References, Author index, Subject index

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