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Journal of the American Statistical Association Volume 110, 2015 - Issue 510
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Theory and Methods

Likelihood Ratio Test for Multi-Sample Mixture Model and Its Application to Genetic Imprinting

Shaoting LiView further author information
,
Jiahua ChenView further author information
,
Jianhua GuoView further author information
,
Bing-Yi JingView further author information
,
Shui-Ying TsangView further author information
&
Hong XueView further author information
Pages 867-877 | Received 01 Jan 2013, Published online: 06 Jul 2015

Citations (7)

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Read on this site (2)

Weisan Wu & Shaoting Li. (2022) Penalized maximum likelihood estimator for finite multivariate skew normal mixtures. Communications in Statistics - Theory and Methods 0:0, pages 1-26.
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Jiahua Chen. (2017) On finite mixture models. Statistical Theory and Related Fields 1:1, pages 15-27.
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Articles from other publishers (5)

Yufan Wang & Xingzhong Xu. (2023) A Posterior p-Value for Homogeneity Testing of the Three-Sample Problem. Mathematics 11:18, pages 3849.
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Yansong Bai, Yong Zhang & Congmin Liu. (2023) Moderate deviation principle for likelihood ratio test in multivariate linear regression model. Journal of Multivariate Analysis 194, pages 105139.
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Zonghui Hu, Pengfei Li, Dean Follmann & Jing Qin. (2022) A mixture distribution approach for assessing genetic impact from twin study. Statistics in Medicine 41:14, pages 2513-2522.
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Lanfeng Pan, Yehua Li, Kevin He, Yanming Li & Yi Li. (2020) Generalized linear mixed models with Gaussian mixture random effects: Inference and application. Journal of Multivariate Analysis 175, pages 104555.
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Tony S.T. Wong, Kwok Fai Lam & Victoria X. Zhao. (2018) Asymptotic null distribution of the modified likelihood ratio test for homogeneity in finite mixture models. Computational Statistics & Data Analysis 127, pages 248-257.
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