دورية أكاديمية

Local maximum likelihood estimation and inference.

التفاصيل البيبلوغرافية
العنوان: Local maximum likelihood estimation and inference.
المؤلفون: Fan, J., Farmen, M., Gijbels, I.
المصدر: Journal of the Royal Statistical Society: Series B (Statistical Methodology); Sep98, Vol. 60 Issue 3, p591, 18p
مصطلحات موضوعية: ESTIMATION theory, LOGISTIC regression analysis, NONPARAMETRIC statistics
مستخلص: Local maximum likelihood estimation is a nonparametric counterpart of the widely used parametric maximum likelihood technique. It extends the scope of the parametric maximum likelihood method to a much wider class of parametric spaces. Associated with this nonparametric estimation scheme is the issue of bandwidth selection and bias and variance assessment. This paper provides a unified approach to selecting a bandwidth and constructing confidence intervals in local maximum likelihood estimation. The approach is then applied to least squares nonparametric regression and to nonparametric logistic regression. Our experiences in these two settings show that the general idea outlined here is powerful and encouraging. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:13697412
DOI:10.1111/1467-9868.00142