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Exact Bahadur Slope for Combining Independent Tests In The Case of Conditional Laplace Distribution

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DataCite Commons2024-11-12 更新2025-04-16 收录
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http://siba-ese.unisalento.it/index.php/ejasa/article/view/29741/24315
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This paper compares four methods of combining n independent tests. The methods are Fisher, logistic, sum of p-values and inverse normal. It is assumed that n independent test statistics {T(i),i = 1,...,n} are available to combine the n independent tests. The four methods are compared, as n → ∞, via exact Bahadur slope under the assumption that the test statistics follow Conditional Laplace Distribution T(i)|ξi ∼ L(τξi,1), ξi ∈ [a,∞),a ≥ 0 where ξ1, ξ2, ... are distributed according to the distribution function (DF) Hξ. It is shown that Fisher's method performs the best as the evidence against the null hypothesis
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University of Salento
创建时间:
2024-11-12
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