Composite empirical likelihood for multisample clustered data-Reference-Cited by-同舟云学术

Composite empirical likelihood for multisample clustered data

Published:2021-01-02 Issue:1 Volume:33 Page:60-81
ISSN:1048-5252
Container-title:Journal of Nonparametric Statistics
language:en
Short-container-title:Journal of Nonparametric Statistics

Author:

Chen Jiahua¹²^ORCID,Li Pengfei³,Liu Yukun⁴,Zidek James V.²

Affiliation:

1. School of Mathematics and Statistics, Yunnan University, Kunming, People's Republic of China

2. Department of Statistics, University of British Columbia, Vancouver, BC, Canada

3. Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada

4. School of Statistics, East China Normal University, Shanghai, People's Republic of China

Funder

Yunnan University

Natural Sciences and Engineering Research Council of Canada

National Natural Science Foundation of China

111 Project

FPInnovations

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10485252.2021.1914337

Reference33 articles.

1. Multivariate logistic compounds

2. ASTM D (2002), Standard practice for establishing allowable properties for visually-graded dimension lumber from in-grade tests of full-size specimens. American Society for Testing and Materials, West Conshohocken, PA, http://www.astm.org.

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

4. Inference for clustered data using the independence loglikelihood

5. Quantile and quantile-function estimations under density ratio model

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