number of downloads : 60

Open Date : 2011-04-01
176 KB
Author
Okumura Hidenori
Description
This paper is based on the author's thesis, \Kernel Regression for Binary Response Data. We consider kernel-based estimators with additional weights of the regression functions in nonparametric binomial and binary regressions. Firstly, in the binomial regression with a single covariate and a xed covariate design, we introduce a weighted Nadaraya-Watson estimator and its bias adjusted estimator discussed in Okumura and Naito [13]. Secondly, in the binary regression with multiple covariates and a random covariate design, we propose weighted local linear estimators.
Subject
kernel regression
binary response
Journal information
島根大学総合理工学部紀要. シリーズB 44 , 33 - 53 , 2011-03
Publisher
島根大学総合理工学部
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