Can I read Introduction to Nonparametric Regression (Takezawa/Introduction) on EtoBox?

Introduction to Nonparametric Regression (Takezawa/Introduction) by Takezawa, Kunio is a scholarly article available to read on EtoBox.

What is Introduction to Nonparametric Regression (Takezawa/Introduction) about?

An easy-to-grasp introduction to nonparametric regression This book's straightforward, step-by-step approach provides an excellent introduction to the field for novices of nonparametric regression. Introduction to Nonparametric Regression clearly explains the basic concepts underlying nonparametric regression and features: • Thorough explanations of various techniques, which avoid complex mathematics and excessive abstract theory to help readers intuitively grasp the value of nonparametric regression methods • Statistical techniques accompanied by clear numerical examples that further assist readers in developing and implementing their own solutions • Mathematical equations that are accompanied by a clear explanation of how the equation was derived The first chapter leads with a compelling argument for studying nonparametric regression and sets the stage for more advanced discussions. In addition to covering standard topics, such as kernel and spline methods, the book provides in-depth coverage of the smoothing of histograms, a topic generally not covered in comparable texts. With a learning-by-doing approach, each topical chapter includes thorough S-Plus? examples that allow reade

Author

Takezawa, Kunio

Publisher

John Wiley & Sons, Incorporated

Published

2005

Language

EN

ISBN

9780471771456