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- catalog abstract ""This book builds on John Fox's previous volume in the QASS Series, Non Parametric Simple Regression. In this monograph readers learn to estimate and plot smooth functions when there are multiple independent variables. While regression analysis traces the dependence of the distribution of a response variable to see if it bears a particular (linear) relationship to one or more of the predictors, nonparametric regression analysis makes minimal assumptions about the form of relationship between the average response and the predictors. This makes nonparametric regression a more useful technique for analyzing data in which there are several predictors that may combine additively to influence the response. (An example could be something like birth order/gender/and temperament on achievement motivation). 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."--pub. desc.".
- catalog contributor b11930385.
- catalog created "c2000.".
- catalog date "2000".
- catalog date "c2000.".
- catalog dateCopyrighted "c2000.".
- catalog description ""This book builds on John Fox's previous volume in the QASS Series, Non Parametric Simple Regression. In this monograph readers learn to estimate and plot smooth functions when there are multiple independent variables. While regression analysis traces the dependence of the distribution of a response variable to see if it bears a particular (linear) relationship to one or more of the predictors, nonparametric regression analysis makes minimal assumptions about the form of relationship between the average response and the predictors. This makes nonparametric regression a more useful technique for analyzing data in which there are several predictors that may combine additively to influence the response. (An example could be something like birth order/gender/and temperament on achievement motivation).".
- catalog description "1. Introduction -- 2. Local Polynomial Multiple Regression -- 3. Additive Regression Models -- 4. Projection-Pursuit Regression -- 5. Regression Trees -- 6. Generalized Nonparametric Regression -- 7. Concluding Remarks: Integrating Nonparametric Regression in Statistical Practice.".
- catalog description "Includes bibliographical references (p. 81-82).".
- catalog description "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."--pub. desc.".
- catalog extent "vii, 83 p. :".
- catalog identifier "0761921893 (pbk. : acid-free paper)".
- catalog isPartOf "Quantitative applications in the social sciences ; no. 07-131.".
- catalog isPartOf "Quantitative applications in the social sciences, a Sage university papers series ; 131".
- catalog issued "2000".
- catalog issued "c2000.".
- catalog language "eng".
- catalog publisher "Thousand Oaks, Calif. : Sage Publications,".
- catalog subject "300/.1/519536 21".
- catalog subject "HA31.3 .F693 2000".
- catalog subject "Nonparametric statistics.".
- catalog subject "Regression Analysis.".
- catalog subject "Regression analysis.".
- catalog subject "Social Sciences statistics & numerical data.".
- catalog subject "Social sciences Statistical methods.".
- catalog subject "Statistics, Nonparametric.".
- catalog tableOfContents "1. Introduction -- 2. Local Polynomial Multiple Regression -- 3. Additive Regression Models -- 4. Projection-Pursuit Regression -- 5. Regression Trees -- 6. Generalized Nonparametric Regression -- 7. Concluding Remarks: Integrating Nonparametric Regression in Statistical Practice.".
- catalog title "Multiple and generalized nonparametric regression / John Fox.".
- catalog type "text".