Introduction to Nonparametric Regression

Journal of Quality Technology, April, 2006 by Nychka, Doug

Introduction to Nonparametric Regression by Kunio Takezawa. John Wiley & Sons, Inc., Hoboken, New Jersey, 2006. xviii 568 pp. $110.

THE SMOOTHING of data to discern an underlying curve or surface is a problem that has been with us as long as people have been examining time series or scatter plots. The basic premise is that the regression relationship of a variable to a covariate is a smooth curve, not following a specific parametric form but still being regular and predictable. With the rapid increase in computing resources in the past 25 years, non-parametric regression (NPR) has enjoyed a tremendous expansion to become a practical set of tools for data analysis. This text is a survey and introduction to some of the methods that have been developed. Besides exposition...

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