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. |
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Page 61
... Equations x = A. The Kolgomorov Differential Equations . We now turn from the general form of Eqs . ( 2.19 ) and ... Kolmogorov [ 56 ] in a fundamental paper in which he laid the foundations of the theory of Markov processes . Hence , the ...
... Equations x = A. The Kolgomorov Differential Equations . We now turn from the general form of Eqs . ( 2.19 ) and ... Kolmogorov [ 56 ] in a fundamental paper in which he laid the foundations of the theory of Markov processes . Hence , the ...
Page 136
... Equations . In most physical applications of the Kolmogorov diffusion equations the coefficient a ( x ) is essentially positive . However , in certain applications we encounter equations such that a ( x ) vanishes at one ( or possibly ...
... Equations . In most physical applications of the Kolmogorov diffusion equations the coefficient a ( x ) is essentially positive . However , in certain applications we encounter equations such that a ( x ) vanishes at one ( or possibly ...
Page 382
... Kolmogorov equations , it is necessary to specify the functions a ,, ( t ) , which in the study of queueing systems will ( in general ) be functions of time , and the parameters characterizing the interarrival time and service - time ...
... Kolmogorov equations , it is necessary to specify the functions a ,, ( t ) , which in the study of queueing systems will ( in general ) be functions of time , and the parameters characterizing the interarrival time and service - time ...
Contents
Introduction | 1 |
Processes Discrete in Space and Time | 9 |
Processes Discrete in Space and Continuous in Time | 57 |
Copyright | |
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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 |
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absorber applications assume assumptions asymptotic birth process birth-and-death process boundary branching processes cascade process cascade theory coefficient collision consider counter defined denote the number denote the probability deterministic differential equation diffusion equations diffusion processes discrete branching process distribution function E₁ electron-photon cascades energy epidemic exists expression Feller finite functional equation given Hence initial condition integral equation interval 0,t ionization Kolmogorov equations Laplace transform Let the random machine Markov chain Markov processes Math mathematical matrix Mellin transform method Monte Carlo methods neutron nonnegative nucleon number of individuals o(At obtain P₁ photon Poisson process population probability distribution problem Proc product density queueing system r₁ radiation Ramakrishnan random variable random variable X(t random walk recurrent satisfies sequence Statist stochastic model Stochastic Processes t₁ t₂ Takács tion transition probabilities X₁ zero дх