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language
eng
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 Title
島根大学総合理工学部紀要. シリーズB
Volume
44
Start Page
33
End Page
53
ISSN
13427121
Published Date
2011-03
NCID
AA11157123
Publisher
島根大学総合理工学部
NII Type
Departmental Bulletin Paper
Format
PDF
Text Version
出版社版
OAI-PMH Set
Interdisciplinary Graduate School of Science and Engineering
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