A Jackknife empirical likelihood approach for K ‐sample Tests-Reference-Cited by-同舟云学术

A Jackknife empirical likelihood approach for K ‐sample Tests

Published:2021-04-02 Issue:4 Volume:49 Page:1115-1135
ISSN:0319-5724
Container-title:Canadian Journal of Statistics
language:en
Short-container-title:Can J Statistics

Author:

Sang Yongli¹^ORCID,Dang Xin²,Zhao Yichuan³

Affiliation:

1. Department of Mathematics University of Louisiana at Lafayette Lafayette 70504 LA U.S.A.

2. Department of Mathematics University of Mississippi University 38677 MS U.S.A.

3. Department of Mathematics and Statistics Georgia State University Atlanta 30303 GA U.S.A.

Funder

Division of Mathematical Sciences

National Security Agency

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjs.11611

Reference47 articles.

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4. Hypothesis testing in the presence of multiple samples under density ratio models;Cai S.;Statistica Sinica,2017

5. Empirical likelihood tests for two-sample problems via nonparametric density estimation

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