Nonparametric Simple Regression: Smoothing Scatterplots - Quantitative Applications in the Social Sciences (Paperback)John Fox (author)
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Unfortunately, researchers have not had accessible information on nonparametric regression analysis-until now. Beginning with presentation of nonparametric regression based on dividing the data into bins and averaging the response values in each bin, Fox introduces readers to the techniques of kernel estimation, additive nonparametric regression, and the ways nonparametric regression can be employed to select transformations of the data preceding a linear least-squares fit. The book concludes with ways nonparametric regression can be generalized to logit, probit, and Poisson regression.
Publisher: SAGE Publications Inc
Number of pages: 96
Weight: 113 g
Dimensions: 215 x 139 x 6 mm
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