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The Confidence Distribution Method to the Behrens-Fisher Problem

The Confidence Distribution Method to the Behrens-Fisher Problem
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摘要 We use the methods of “The Welch-Satterthwaite test”, “The Cochran-Cox test”, “The Generalized p-value test”, “Computational Approach test” to structure different Confidence Distributions, and use the Confidence Distributions to give an new solution the confidence interval of the difference between two population means where the populations are assumed to be normal with unknown and unequal variances. Finally, we find the most effective solution through the numerical simulation. We use the methods of “The Welch-Satterthwaite test”, “The Cochran-Cox test”, “The Generalized p-value test”, “Computational Approach test” to structure different Confidence Distributions, and use the Confidence Distributions to give an new solution the confidence interval of the difference between two population means where the populations are assumed to be normal with unknown and unequal variances. Finally, we find the most effective solution through the numerical simulation.
作者 Wenyong Tao Wanzhou Ye Wenyong Tao;Wanzhou Ye(School of Science, Shanghai University, Shanghai, China)
机构地区 School of Science
出处 《Journal of Applied Mathematics and Physics》 2016年第2期286-293,共8页 应用数学与应用物理(英文)
关键词 Behrens-Fisher Problem Confidence Distribution Interval Estimation Component Behrens-Fisher Problem Confidence Distribution Interval Estimation Component
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