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A note on optimal probability lower bounds for centered random variables

Mark Veraar (2008)

Colloquium Mathematicae

We obtain lower bounds for ℙ(ξ ≥ 0) and ℙ(ξ > 0) under assumptions on the moments of a centered random variable ξ. The estimates obtained are shown to be optimal and improve results from the literature. They are then applied to obtain probability lower bounds for second order Rademacher chaos.

A note on Pólya's theorem.

Dinis Pestana (1984)

Trabajos de Estadística e Investigación Operativa

The class of extended Pólya functions Ω = {φ: φ is a continuous real valued real function, φ(-t) = φ(t) ≤ φ(0) ∈ [0,1], límt→∞ φ(t) = c ∈ [0,1] and φ(|t|) is convex} is a convex set. Its extreme points are identified, and using Choquet's theorem it is shown that φ ∈ Ω has an integral representation of the form φ(|t|) = ∫0∞ max{0, 1-|t|y} dG(y), where G is the distribution function of some random variable Y. As on the other hand max{0, 1-|t|y} is the characteristic function of an absolutely continuous...

A note on stochastic ordering of estimators of exponential reliability

Piotr Nowak (2011)

Applicationes Mathematicae

Recently Balakrishnan and Iliopoulos [Ann. Inst. Statist. Math. 61 (2009)] gave sufficient conditions under which the maximum likelihood estimator (MLE) is stochastically increasing. In this paper we study test plans which are not considered there and we prove that the MLEs for those plans are also stochastically ordered. We also give some applications to the estimation of reliability.

A note on the Ehrhard inequality

Rafał Latała (1996)

Studia Mathematica

We prove that for λ ∈ [0,1] and A, B two Borel sets in n with A convex, Φ - 1 ( γ n ( λ A + ( 1 - λ ) B ) ) λ Φ - 1 ( γ n ( A ) ) + ( 1 - λ ) Φ - 1 ( γ n ( B ) ) , where γ n is the canonical gaussian measure in n and Φ - 1 is the inverse of the gaussian distribution function.

A note on the interval-valued marginal problem and its maximum entropy solution

Jiřina Vejnarová (1998)

Kybernetika

This contribution introduces the marginal problem, where marginals are not given precisely, but belong to some convex sets given by systems of intervals. Conditions, under which the maximum entropy solution of this problem can be obtained via classical methods using maximum entropy representatives of these convex sets, are presented. Two counterexamples illustrate the fact, that this property is not generally satisfied. Some ideas of an alternative approach are presented at the end of the paper.

A Note on the Men'shov-Rademacher Inequality

Witold Bednorz (2006)

Bulletin of the Polish Academy of Sciences. Mathematics

We improve the constants in the Men’shov-Rademacher inequality by showing that for n ≥ 64, E ( s u p 1 k n | i = 1 k X i | ² 0 . 11 ( 6 . 20 + l o g n ) ² for all orthogonal random variables X₁,..., Xₙ such that k = 1 n E | X k | ² = 1 .

Currently displaying 61 – 80 of 174