Description

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.

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