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Abstract
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.
Journal
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- 島根大学総合理工学部紀要. シリーズB
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島根大学総合理工学部紀要. シリーズB 44 33-53, 2011-03
島根大学総合理工学部
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Details 詳細情報について
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- CRID
- 1050282813461774976
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- NII Article ID
- 110008138797
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- NII Book ID
- AA11157123
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- ISSN
- 13427121
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- NDL BIB ID
- 11053631
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- Text Lang
- en
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- Article Type
- departmental bulletin paper
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- Data Source
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- IRDB
- NDL
- CiNii Articles