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The Markov chain models are widly used in powder technology (mixing, grinding, classification, complex circuits, etc. Besides that the math tools of MC theory can be used to model heat and mass transfer.A Markov chain process is called regular if its transition matrix is regular. We state now the main theorem in Markov chain theory: 1. If T is a regular transition matrix, then as n approaches infinity, T n S where S is a matrix of the form [v, v, , v with v being a constant vector. 2. application of markov chain modelling

The simplest Markov model is the Markov chain. It models the state of a system with a random variable that changes through time. In this context, the Markov property suggests that the distribution for this variable depends only on the distribution of previous state.

Let me give an application in Marketing. Marketers use Markov Chain to predict brand switching behavior within their customers. Let us take the case of Detergent Brands. The Application of Markov Chain Monte Carlo to Infectious Diseases use of the application of Markov chain Monte Carlo to infectious disease modelling in a**application of markov chain modelling** present what we consider to be the ve greatest applications of Markov chains. Key words. Markov chains, Markov applications, stationary vector, PageRank, HIdden Markov models, performance evaluation, Eugene Onegin, information theory AMS subject classications. 60J010, 60J20, 60J22, 60J27, 65C40 1. Introduction.

In this review paper we present applications of finite Markov chains to Management problems, which can be solved, as most of the problems concerning applications of Markov chains in general do, by distinguishing between two types of such chains, the ergodic and the absorbing ones. *application of markov chain modelling* The origin of Markov chains, a probabilistic model for predicting the future goes back to the biblical times. This chapter introduces the Biblical example of a Markov process that is concerned with the famous trial of king Solomon. The story develops as two women fight over a dead and a living child. An Introduction to Markov Modeling: Concepts and Uses Mark A. Boyd entation of the basics of Markov models and their application for dependability analysis.

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