BAHADUR-KIEFER THEOREMS FOR KERNEL SMOOTH PRODUCT-LIMIT QUANTILE ESTIMATOR

ZHOU, Y

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Publication date

January 1995

DOI

10.1080/03610929508831652

Publisher

communications in statistics theory and methods

ISSN

0361-0926

Journal

0361-0926

Abstract

The smooth PL quantile estimator is proposed and the analog of Bahadur-Kiefer type process is constructed based on the PL estimator and the smooth PL quantile estimator when the data are subject to censorship. Pointwise and uniform strong limit theorems for this process are established. The theorems are sharp and give the exact convergent rates of Bahadur type representation for the smooth PL quantile estimator.Statistics & ProbabilitySCI(E)0ARTICLE112815-28282

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BAHADUR-KIEFER THEOREMS FOR KERNEL SMOOTH PRODUCT-LIMIT QUANTILE ESTIMATOR

Abstract

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BAHADUR-KIEFER THEOREMS FOR KERNEL SMOOTH PRODUCT-LIMIT QUANTILE ESTIMATOR

Abstract

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