نتایج جستجو برای: stationary distribution

تعداد نتایج: 658682  

Journal: :international journal of industrial engineering and productional research- 0
masoud mahootchi 424 hafez aven, tehran, iranue taher ahmadi 424 hafez avenue, tehran, iran kumaraswamy ponnambalam 200 university avenue, waterloo, canada

this paper presents a new formulation for warehouse inventory management in a stochastic situation. the primary source of this formulation is derived from fp model, which has been proposed by fletcher and ponnambalam for reservoir management. the new proposed mathematical model is based on the first and the second moments of storage as a stochastic variable. using this model, the expected value...

2005
Patrik Wahlberg P. Wahlberg

The paper treats theWigner distribution of scalar-valued stochastic processes defined on R. We show that if the process is Gaussian and weakly harmonizable then a stochastic Wigner distribution is well defined. The special case of stationary processes is studied, in which case the Wigner distribution is weakly stationary in the time variable and the variance is equal to the deterministic Wigner...

2006
Eric Vigoda

We saw in the last lecture how Markov chains can be useful algorithmically. If we have a probability distribution we’d like to generate random samples from, we design an ergodic Markov chain whose unique stationary distribution is the desired distribution. We then run the chain (i.e., start at an arbitrary state and evolve according to the transition matrix), until the process is at (or close t...

Journal: :NHM 2013
Jean-Yves Le Boudec

Assume that a stochastic process can be approximated, when some scale parameter gets large, by a fluid limit (also called “mean field limit”, or “hydrodynamic limit”). A common practice, often called the “fixed point approximation” consists in approximating the stationary behaviour of the stochastic process by the stationary points of the fluid limit. It is known that this may be incorrect in g...

H. A. Azarnoosh, H. Jabbari,

Let {Xn, n >= 1} be a strictly stationary sequence of negatively associated random variables, with common continuous and bounded distribution function F. In this paper, we consider the estimation of the two-dimensional distribution function of (X1,Xk+1) based on histogram type estimators as well as the estimation of the covariance function of the limit empirical process induced by the se...

Background Over the last decade there has been an increase in healthcare expenditures while at the same time the inequity in distribution of resources has grown. These two issues have urged the researchers to review the determinants of healthcare expenditures. In this study, we surveyed the determinants of health expenditures in Economic Cooperation Organization (ECO) countries.   Methods We us...

2009
Zhengyan Lin Weidong Liu

We consider the limit distribution of maxima of periodograms for stationary processes. Our method is based on m-dependent approximation for stationary processes and a moderate deviation result.

2009
Zhengyan Lin Weidong Liu

We consider the limit distribution of maxima of periodograms for stationary processes. Our method is based on m-dependent approximation for stationary processes and a moderate deviation result.

2006
Boris Mitavskiy Jonathan E. Rowe

One of the main difficulties faced when analyzing Markov chains modelling evolutionary algorithms is that their cardinality grows quite fast. A reasonable way to deal with this issue is to introduce an appropriate notion of a “coarse graining” or, in mathematical language, a quotient of such a Markov chain. The main topic of the current work is the construction of such a notion. We shell introd...

2010
Michael Assaf Baruch Meerson Pavel V. Sasorov

Abstract. Momentum-space representation renders an interesting perspective to theory of large fluctuations in populations undergoing Markovian stochastic gain-loss processes. This representation is obtained when the master equation for the probability distribution of the population size is transformed into an evolution equation for the probability generating function. Spectral decomposition the...

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