This paper presents the analysis of a renewal input  finite buffer queue wherein the customers can decide either to  join the queue with a probability or balk. The service process is Markovian service process ($MSP$) governed  by an underlying $m$-state Markov chain. Employing the supplementary  variable and imbedded Markov chain techniques,   the steady-state system length distributions at pre...

Time-varying nature of mobile fading channels can affect the design of wireless systems in many different aspects. This paper investigates the dynamic behavior of intrinsic spatial links in multiple-input multiple-output (MIMO) transceivers based on Geometric mean decomposition (GMD). In particular, we suggest using a finite-state Markov chain (FSMC) to model the fluctuations of both eigenmodes...

meteorological stations usually contain some missing data for different reasons.there are several traditional methods for completing data, among them bivariate and multivariate linear and non-linear correlation analysis, double mass curve, ratio and difference methods, moving average and probability density functions are commonly used. in this paper a blended model comprising the bivariate expo...

In this paper, Markov chain is used to model the reproduction of fixed finite population, and use binomial distribution discuss probability gen inheritance between generations population genes establish transfer matrix ,using conditional mathematics expect obtain absorption at 0 2N only depends on initial fraction A gene, also must be a fixation gene , conclusion same as results MATLAB simulati...

In this work, we propose a new approach for discovering various relationships among keywords over the scientific publications based on a Markov Chain model. It is an important problem since keywords are the basic elements for representing abstract objects such as documents, user profiles, topics and many things else. Our model is very effective since it combines four important factors in scient...