Kernel density‐based likelihood ratio tests for linear regression models-Reference-Cited by-同舟云学术

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Kernel density‐based likelihood ratio tests for linear regression models

Published:2020-10-04 Issue:1 Volume:40 Page:119-132
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Yan Feifei¹,Xu Qing‐Song¹,Tang Man‐Lai²^ORCID,Chen Ziqi³^ORCID

Affiliation:

1. School of Mathematics and Statistics Central South University Changsha China

2. Department of Mathematics, Statistics and Insurance Hang Seng University of Hong Kong Hong Kong China

3. School of Statistics, KLATASDS‐MOE East China Normal University Shanghai China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8765

Reference28 articles.

1. The large sample distribution of the likelihood ratio for testing composite hypotheses;Wilks S;Ann Stat,1938

2. The History of Likelihood

3. Empirical likelihood test for high dimensional linear models;Peng L;Statist Probab Lett,2014

4. Profile likelihood and conditionally parametric models;Severini T;Ann Stat,1992

5. Profile likelihood inferences on semiparametric varying-coefficient partially linear models

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