Elements of the Theory of Markov Processes and Their ApplicationsGraduate-level text and reference in probability, with numerous scientific applications. Nonmeasure-theoretic introduction to theory of Markov processes and to mathematical models based on the theory. Appendixes. Bibliographies. 1960 edition. |
From inside the book
Results 1-3 of 29
Page 73
... Poisson Process . The Poisson process is the simplest of the discontinuous Markov processes . This process occupies a unique position in the theory of probability and has found many applications in fields such as biology , physics , and ...
... Poisson Process . The Poisson process is the simplest of the discontinuous Markov processes . This process occupies a unique position in the theory of probability and has found many applications in fields such as biology , physics , and ...
Page 127
... Process Having a Denumerable Set of States ( in Russian ) , Ucenve Zapiski Mat . Moskov . Gos . Univ . , vol . 148 , pp ... Poisson Stochastic Process : II , Studia Math . , vol . 13 , pp . 130-136 , 1953 . 64 Morgenstern , D .: Über die ...
... Process Having a Denumerable Set of States ( in Russian ) , Ucenve Zapiski Mat . Moskov . Gos . Univ . , vol . 148 , pp ... Poisson Stochastic Process : II , Studia Math . , vol . 13 , pp . 130-136 , 1953 . 64 Morgenstern , D .: Über die ...
Page 248
... distribution is much larger than the relative fluctuation for the Poisson distribution , except for small values of it , in which case the two distributions are essentially the same . It is clear that the Furry process is a better ...
... distribution is much larger than the relative fluctuation for the Poisson distribution , except for small values of it , in which case the two distributions are essentially the same . It is clear that the Furry process is a better ...
Other editions - View all
Elements of the Theory of Markov Processes and Their Applications A. T. Bharucha-Reid Limited preview - 2012 |
Elements of the Theory of Markov Processes and Their Applications Albert T. Bharucha-Reid Limited preview - 1997 |
Common terms and phrases
absorber Acad applications assume assumptions asymptotic birth process birth-and-death process boundary branching processes cascade process cascade theory coefficients collision consider counter defined denote the number denote the probability derive deterministic differential equation diffusion equations diffusion processes distribution function E₁ electron-photon cascades epidemic expression Feller finite fluctuation problem functional equation given Hence initial condition integral equation interval 0,t ionization Jánossy Kolmogorov equations Laplace transform Let the random machine Markov chain Markov processes Math mathematical matrix Mellin transform Messel method Monte Carlo methods neutron nucleon nucleon cascades number of individuals o(At obtain P₁ photon Phys Poisson process population probability distribution Proc queueing process queueing system r₁ r₂ radiation Ramakrishnan random variable random variable X(t recurrent satisfies Statist stochastic model Stochastic Processes t₁ t₂ Takács Theorem tion transition probabilities X₁ zero дх