The problem of predicting user’s web page request is gaining importance due to the increase in the demand of world wide web; recently Markov models are widely used for this purpose. Markov models found major application in this area different order markov models are used for providing different level of accuracy to the prediction .This paper focuses on different techniques used for predicting u...

We analyze the performance of the novel Markov chain stochastic modeling technique for derivation of effective equations for a set of essential variables. This technique is an empirical approach where the right-hand side of the essential variables is modeled by a Markov chain. We demonstrate that the Markov chain modeling approach performs well in a prototype model without scale separation betw...

Detailed modeling of a grinding mill can be achieved through Markov chain models without involving lengthy computations. However, estimation of the key parameters of the model, elements of the Markov transition matrix, using observable quantities is not trivial. This powerful modeling tool can find wide applicability in operation and control of industrial mills if this set of parameters can be ...