Weighted kernel estimators in nonparametric binomial regression
نویسندگان
چکیده
منابع مشابه
Weighted Kernel Estimators in Nonparametric Binomial Regression
This paper is concerned with nonparametric binomial regression. Two kernel-based binomial regression estimators and their bias-adjusted versions are proposed, whose kernels are weighted by the inverses of variance estimators of the observed proportion at each covariate. Asymptotic theories for deriving asymptotic mean squared errors (AMSEs) of proposed estimators are developed. Comparisons with...
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ژورنال
عنوان ژورنال: Journal of Nonparametric Statistics
سال: 2004
ISSN: 1048-5252,1029-0311
DOI: 10.1080/10485250310001624828