نتایج جستجو برای: Stochastic order

تعداد نتایج: 1017971  

Journal: :journal of sciences, islamic republic of iran 2015
h.r. nili sani m. amini m. khanjari

in this paper, we introduce a new kind of order, cesaro supermodular order, which includes supermodular order and stochastic order. for this new order, we show that it almost fulfils all desirable properties of a multivariate positive dependence order that have been proposed by joe (1997). also, we obtain some relations between it with other orders. finally, we consider different issues related...

Journal: :journal of mathematical modeling 0
mehran namjoo school of mathematical sciences, vali-e-asr university of rafsanjan, rafsanjan, iran ali mohebbian school of mathematical sciences, vali-e-asr university of rafsanjan, rafsanjan, iran

in this paper, a high-order and conditionally stable stochastic difference scheme is proposed for the numerical solution of $rm ithat{o}$ stochastic advection diffusion equation with one dimensional white noise process. we applied a finite difference approximation of fourth-order for discretizing space spatial derivative of this equation. the main properties of deterministic difference schemes,...

Journal: :journal of linear and topological algebra (jlta) 0
r farnoosh school of mathematics, iran university of science and technology, 16844, tehran, iran. h rezazadeh school of mathematics, iran university of science and technology, 16844, tehran, iran. a sobhani school of mathematics, iran university of science and technology, 16844, tehran, iran. d ebrahimibagha department of mathematics, center branch, islamic azad university, tehran, iran.

in this paper, we present the numerical solution of ordinary di erential equations (or sdes), from each order especially second-order with time-varying and gaussian random coecients. we indicate a complete analysis for second-order equations in special case of scalar linear second-order equations (damped harmonic oscillators with additive or multi- plicative noises). making stochastic di erent...

Journal: :Statistics & Probability Letters 2017

Journal: :Statistics 2021

We study the problem of comparing ageing patterns lifetimes k-out-of-n systems with i.i.d. components. Mathematically, this reduces to being able decide about a stochastic ordering relationship between different order statistics. discuss such relationships respect second-order dominance, obtaining characterizations through verification relative convexity suitably chosen reference distribution f...

Journal: :bulletin of the iranian mathematical society 2014
jun liu

the stochastic reaction diffusion systems may suffer sudden shocks‎, ‎in order to explain this phenomena‎, ‎we use markovian jumps to model stochastic reaction diffusion systems‎. ‎in this paper‎, ‎we are interested in almost sure exponential stability of stochastic reaction diffusion systems with markovian jumps‎. ‎under some reasonable conditions‎, ‎we show that the trivial solution of stocha...

In this paper, a high-order and conditionally stable stochastic difference scheme is proposed for the numerical solution of $rm Ithat{o}$ stochastic advection diffusion equation with one dimensional white noise process. We applied a finite difference approximation of fourth-order for discretizing space spatial derivative of this equation. The main properties of deterministic difference schemes,...

Journal: :international journal of industrial engineering and productional research- 0
ramin sadeghian payam noor university

generally ordering policies are done by two methods, including fix order quantity (foq) and fix order period (fop). these methods are static and either the quantity of ordering or the procedure of ordering is fixing in throughout time horizon. in real environments, demand is varying in any period and may be considered as uncertainty. when demand is variable in any period, the traditional and st...

Journal: :bulletin of the iranian mathematical society 2011
a. soheili m. niasar m. arezoomandan

we focus on the use of two stable and accurate explicit finite difference schemes in order to approximate the solution of stochastic partial differential equations of it¨o type, in particular, parabolic equations. the main properties of these deterministic difference methods, i.e., convergence, consistency, and stability, are separately developed for the stochastic cases.

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