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Generalized fiducial methods for testing the homogeneity of a three-sample problem with a mixture structure.
Ren, Pengcheng; Liu, Guanfu; Pu, Xiaolong.
Afiliación
  • Ren P; Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University, Shanghai, People's Republic of China.
  • Liu G; School of Statistics and Information, Shanghai University of International Business and Economics, Shanghai, People's Republic of China.
  • Pu X; Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University, Shanghai, People's Republic of China.
J Appl Stat ; 50(5): 1094-1114, 2023.
Article en En | MEDLINE | ID: mdl-37009592
Recently, the likelihood ratio (LR) test was proposed to test the homogeneity of a three-sample model with a mixture structure. Because of the presence of the mixture structure, the null limiting distribution of the LR test has a complicated supremum form, which leads to challenges in determining p-values. In addition, the LR test cannot control type-I errors well under small to moderate sample size. In this paper, we propose seven generalized fiducial methods to test the homogeneity of the three-sample model. Via simulation studies, we find that our methods perform significantly better than the LR test method in controlling the type-I errors under small to moderate sample size, while they have comparable powers in most cases. A halibut data example is used to illustrate the proposed methods.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: J Appl Stat Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: J Appl Stat Año: 2023 Tipo del documento: Article