Results 1 to 10 of about 1,120,364 (167)

Stochastic Order and Generalized Weighted Mean Invariance [PDF]

open access: yesEntropy, 2021
In this paper, we present order invariance theoretical results for weighted quasi-arithmetic means of a monotonic series of numbers. The quasi-arithmetic mean, or Kolmogorov–Nagumo mean, generalizes the classical mean and appears in many disciplines ...
Mateu Sbert   +3 more
doaj   +2 more sources

Second-order stochastic comparisons of order statistics [PDF]

open access: yesStatistics, 2021
We study the problem of comparing ageing patterns of the lifetime of k-out-of-n systems. Mathematically, this reduces to being able to decide about a stochastic ordering relationship between different order statistics. We discuss such relationships with respect to second-order stochastic dominance, obtaining characterizations through the verification ...
Lando, Tommaso   +2 more
openaire   +3 more sources

On the Probability of Finding Extremes in a Random Set

open access: yesMathematics, 2022
We consider a sequence Zjj≥1 of i.i.d. d-dimensional random vectors and for every n≥1 consider the sample Sn={Z1,Z2,…,Zn}. We say that Zj is a “leader” in the sample Sn if Zj≥Zk,∀k∈{1,2,…,n}and Zj is an “anti-leader” if Zj≤Zk,∀k∈{1,2,…,n}. After all, the
Anișoara Maria Răducan   +3 more
doaj   +1 more source

Stochastic orders of log-epsilon-skew-normal distributions

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2022
The log-epsilon-skew-normal distributions family is generalized class of log-normal distribution. Is widely used to model non-negative data in many areas of applied research.
Catana Luigi-Ionut
doaj   +1 more source

Residual Probability Function for Dependent Lifetimes

open access: yesMathematics, 2021
In this paper, the residual probability function is applied to analyze the survival probability of two used components relative to each other in the case when their lifetimes are dependent. The expression of the function by copulas has been derived along
Mhamed Mesfioui, Mohamed Kayid
doaj   +1 more source

Stochastic Comparisons of Some Distances between Random Variables

open access: yesMathematics, 2021
The aim of this paper is twofold. First, we show that the expectation of the absolute value of the difference between two copies, not necessarily independent, of a random variable is a measure of its variability in the sense of Bickel and Lehmann (1979).
Patricia Ortega-Jiménez   +2 more
doaj   +1 more source

Stochastic Comparisons of Weighted Distributions and Their Mixtures

open access: yesEntropy, 2020
In this paper, various stochastic ordering properties of a parametric family of weighted distributions and the associated mixture model are developed. The effect of stochastic variation of the output random variable with respect to the parameter and/or ...
Abdulhakim A. Albabtain   +3 more
doaj   +1 more source

Relative Orderings of Modified Proportional Hazard Rate and Modified Proportional Reversed Hazard Rate Models

open access: yesMathematics, 2023
In this paper, we identify several relative ordering properties of the modified proportional hazard rate and modified proportional reversed hazard rate models.
Mansour Shrahili   +2 more
doaj   +1 more source

Stochastically ordered multiple regression [PDF]

open access: yesBiostatistics, 2010
In various application areas, prior information is available about the direction of the effects of multiple predictors on the conditional response distribution. For example, in epidemiology studies of potentially adverse exposures and continuous health responses, one can typically assume a priori that increasing the level of an exposure does not lead ...
Bornkamp, Björn   +2 more
openaire   +3 more sources

Stochastic Comparisons of Parallel and Series Systems with Type II Half Logistic-Resilience Scale Components

open access: yesMathematics, 2020
This paper deals with stochastic comparisons of two parallel (series) systems with Type II half logistic-resilience scale (TIIHL-RS) distribution components with different baseline distribution functions.
Junrui Wang, Rongfang Yan, Bin Lu
doaj   +1 more source

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