Generalizations of Efron's theorem

被引:2
|
作者
Oudghiri, Yannis [1 ]
机构
[1] Aix Marseille Univ, CNRS, Cent Marseille, I2M, Marseille, France
关键词
Log-concavity; Efron's theorem; Andreev's formula;
D O I
10.1016/j.spl.2021.109158
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this article, we prove two new versions of a theorem proven by Efron in Efron (1965). Efron's theorem says that if a function phi : R-2 -> R is non-decreasing in each argument then we have that the function s bar right arrow E[phi(X, Y)vertical bar X + Y = s] is non decreasing. We name restricted Efron's theorem a version of Efron's theorem where phi : R -> R only depends on one variable. PFn is the class of functions such as for all a(1) <= ... <= a(n), b(1) <= ... <= b(n), det(f (a(i) - b(j)))(1 <= i,j <= n) >= 0. The first version generalizes the restricted Efron's theorem for random variables in the PFn class. The second one considers the non-restricted Efron's theorem with a stronger monotonicity assumption. In the last part, we give a more general result of the second generalization of Efron's theorem. (C) 2021 Elsevier B.V. All rights reserved.
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页数:7
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