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Smoothing and Regression (Approaches, Computation, and Application) by Schimek, Michael G. is a scholarly article available to read on EtoBox.

What is Smoothing and Regression (Approaches, Computation, and Application) about?

A comprehensive introduction to a wide variety of univariate and multivariate smoothing techniques for regression Smoothing and Regression: Approaches, Computation, and Application bridges the many gaps that exist among competing univariate and multivariate smoothing techniques. It introduces, describes, and in some cases compares a large number of the latest and most advanced techniques for regression modeling. Unlike many other volumes on this topic, which are highly technical and specialized, this book discusses all methods in light of both computational efficiency and their applicability for real data analysis. Using examples of applications from the biosciences, environmental sciences, engineering, and economics, as well as medical research and marketing, this volume addresses the theory, computation, and application of each approach. A number of the techniques discussed, such as smoothing under shape restrictions or of dependent data, are presented for the first time in book form. Special features of this book include: • Comprehensive coverage of smoothing and regression with software hints and applications from a wide variety of disciplines • A unified, easy-to-follow format

Author

Schimek, Michael G.

Publisher

John Wiley & Sons, Incorporated

Published

2000

Language

EN

ISBN

9781283446112