The Bahadur representations of quantile estimators in general unequal probability sampling

In this study, we establish the Bahadur representations of quantile estimators based on the Hájek and the Horvitz–Thompson estimators for the population distribution function in unequal probability sampling designs under general conditions. We also present the asymptotic normality of the above quantile estimators. The simulation studies using real data confirm the validity of the asymptotic normality.

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Publication Details

Journal
Communication in Statistics- Theory and Methods
Published
2024-10-20
DOI
https://doi.org/10.1080/03610926.2024.2406382
Citations
1
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
0.71
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article

The Bahadur representations of quantile estimators in general unequal probability sampling

Hitoshi Motoyama
1 citations
Communication in Statistics- Theory and Methods
Statistical Distribution Estimation and Applications
0.71
article

The Bahadur representations of quantile estimators in general unequal probability sampling

Hitoshi Motoyama
article en
1 citations

Abstract

In this study, we establish the Bahadur representations of quantile estimators based on the Hájek and the Horvitz–Thompson estimators for the population distribution function in unequal probability sampling designs under general conditions. We also present the asymptotic normality of the above quantile estimators. The simulation studies using real data confirm the validity of the asymptotic normality.

Communication in Statistics- Theory and MethodsVol. 54(13)
Aoyama Gakuin University (JP), The Institute of Statistical Mathematics (JP)
Reduced inequalities
Openalex Percentile: Top 25%
Statistical Distribution Estimation and Applications
0.71
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