The purpose, level, and style of this new edition conform to the tenets set forth in the original preface. The authors continue with their tack of developing si

Elements of stochastic processes; Markov chains; The basic limit theorem of markov chains and applications; Classical examples of continuous time markov chains;

The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better u

Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students f

Stochastic processes are necessary ingredients for building models of a wide variety of phenomena exhibiting time varying randomness. This text offers easy acce