Description: Introduction to Nonparametric Regression, Hardcover by Takezawa, K., ISBN 0471745839, ISBN-13 9780471745839, Brand New, Free shipping in the US Written for undergraduate and graduate courses, this text takes a step-by-step approach and assumes students have only a basic knowledge of linear algebra and statistics. The explanations therefore avoid complex mathematics and excessive abstract theory, and even statistical information is accompanied by clear numerical examples and equations are explained all the way through the process. Topics include smoothing out data with an equispaced predictor, nonparametric regression for a one-dimensional predictor, multidimensional smoothing, nonparametric regression with predictors represented as distributions, smoothing of histograms and nonparametric probability density functions and pattern recognition. Each chapter includes exercises. Annotation ©2006 Book News, Inc., Portland, OR ()
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Book Title: Introduction to Nonparametric Regression
Number of Pages: 568 Pages
Language: English
Publication Name: Introduction to Nonparametric Regression
Publisher: Wiley & Sons, Incorporated, John
Subject: Probability & Statistics / General, Probability & Statistics / Regression Analysis
Publication Year: 2005
Item Height: 1.2 in
Type: Textbook
Item Weight: 31.2 Oz
Item Length: 9.4 in
Author: K. Takezawa
Subject Area: Mathematics
Series: Wiley Series in Probability and Statistics Ser.
Item Width: 6.4 in
Format: Hardcover
