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• W2186945896 abstract "tL- 1379- M Nonparametric regression methods can provide nonparametric modeling, guidance in selection of parametric models and diagnostic tools. This is particularly important for binary regression due to the lack of simple graphical tools for data exploration. In this article, we discuss the application of local polynomial regression to the binary re­ gression problem. We show that local polynomial regression is consistent, and is a simpler al­ ternative to generalized smooth models. Bandwidth selection for good small sample perfor­ mance remains problematic. We show by simulation that methods such as cross-validation and plug-in estimators, which perform well for continuous response, do poorly for binary data. However, bootstrap bandwidth selection, although very computer-intensive, appears to work well for binary response." @default.
• W2186945896 created "2016-06-24" @default.
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• W2186945896 date "1997-03-03" @default.
• W2186945896 modified "2023-10-03" @default.
• W2186945896 title "Local Polynomial Regression for Binary Response" @default.
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• W2186945896 hasPublicationYear "1997" @default.
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