Results 11 to 20 of about 143,710 (291)
Learning with Stochastic Orders
Code available at https://github.com/yair-schiff/stochastic-orders ...
Carles Domingo-Enrich +2 more
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Modeling Extreme Values with Alpha Power Inverse Pareto Distribution
The study focuses on the development of a new probability distribution with applications to extreme values. The distribution is proposed by incorporating an additional parameter into the inverse Pareto distribution using the α-Power Transformation ...
Ihtisham Shumaila +5 more
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In this article, we introduce and study a new stochastic order of multivariate distributions, namely, the conditional likelihood ratio order. The proposed order and other stochastic orders are analyzed in the case of a bivariate exponential distributions
Luigi-Ionut Catana, Vasile Preda
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Second-order stochastic comparisons of order statistics [PDF]
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
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Ohlin and Levin–Stečkin-Type Results for Strongly Convex Functions
Counterparts of the Ohlin and Levin–Stečkin theorems for strongly convex functions are proved. An application of these results to obtain some known inequalities related with strongly convex functions in an alternative and unified way is presented.
Nikodem Kazimierz, Rajba Teresa
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Stochastic permutation ordering watershed [PDF]
The stochastic watershed is a morphological approach to segmentation that repeats the application of a seeded watershed from series of uniform random markers. The obtained watershed boundaries are combined to construct a probability density function. We propose an alternative approach called stochastic permutation ordering watershed.
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The Marshall-Olkin Odd Burr III-G Family: Theory, Estimation, and Engineering Applications
We propose a new flexible class called the Marshall-Olkin odd Burr III family for generating continuous distributions and derive some of its statistical properties.
Ahmed Z. Afify +5 more
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RELATIONS BETWEEN STOCHASTIC ORDERINGS AND GENERALIZED STOCHASTIC PRECEDENCE [PDF]
The concept of stochastic precedence between two real-valued random variables has often emerged in different applied frameworks. In this paper, we analyze several aspects of a more general, and completely natural, concept of stochastic precedence that also had appeared in the literature.
DE SANTIS, Emilio +2 more
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On stochastic orders and total positivity
The usual stochastic order and the likelihood ratio order between probability distributions on the real line are reviewed in full generality. In addition, for the distribution of a random pair (X, Y), it is shown that the conditional distributions of Y, given X = x, are increasing in x with respect to the likelihood ratio order if and only if the joint
Lutz Dümbgen, Alexandre Mösching
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In this paper, we suggest a brand new extension of the inverse Lomax distribution for fitting engineering time data. The newly developed distribution, termed the transmuted Topp–Leone inverse Lomax (TTLILo) distribution, is characterized by an additional
Salem A. Alyami +3 more
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