Elements of the Theory of Markov Processes and Their ApplicationsThis graduate-level text and reference in probability, with numerous applications to several fields of science, presents nonmeasure-theoretic introduction to theory of Markov processes. The work also covers mathematical models based on the theory, employed in various applied fields. Prerequisites are a knowledge of elementary probability theory, mathematical statistics, and analysis. Appendixes. Bibliographies. 1960 edition. |
Avis des internautes - Rédiger un commentaire
Aucun commentaire n'a été trouvé aux emplacements habituels.
Autres éditions - Tout afficher
Elements of the Theory of Markov Processes and Their Applications Albert T. Bharucha-Reid Affichage d'extraits - 1960 |
Elements of the Theory of Markov Processes and Their Applications Albert T. Bharucha-Reid Affichage d'extraits - 1960 |
Expressions et termes fréquents
absorber addition applications approach approximation arrival associated assume assumptions becomes birth boundary called cascade coefficients collision concerned condition consider constant continuous counter death defined denote density derive described determined developed differential equation diffusion discussion distribution function electron energy epidemic equal exists expected expression finite fluctuation given gives growth Hence independent individuals initial condition integral interest interval Introduction Laplace transform limit machine Markov chain Markov processes Math mathematical mean method moments necessary nucleon o(At obtain particle particular photon physical Poisson population positive primary probability problem Proc Proof properties queueing radiation random variable reaction recurrent refer relation represent respectively satisfies shown simple solution space Statist Stochastic Processes Theorem theory tion transition probabilities zero