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 257
... collision the primary particle experiences as being a regeneration point for the stochastic cascade process . The probability that the primary particle traverses a thickness t - T without collision is e - a - 7 ) , and the probability ...
... collision the primary particle experiences as being a regeneration point for the stochastic cascade process . The probability that the primary particle traverses a thickness t - T without collision is e - a - 7 ) , and the probability ...
Page 266
... collision will be inelastic , leading to the production of a recoil and a secondary nucleon with a certain fractional energy loss into meson production . Hence , in a collision of a nucleon of energy E。 with a nucleon at rest we can ...
... collision will be inelastic , leading to the production of a recoil and a secondary nucleon with a certain fractional energy loss into meson production . Hence , in a collision of a nucleon of energy E。 with a nucleon at rest we can ...
Page 278
... collision may not result in ionization , it is necessary to distinguish between ionizing and nonionizing collisions . By assumption ( 3 ) an electron will ionize an atom only if its energy is greater than I , the mean ionization ...
... collision may not result in ionization , it is necessary to distinguish between ionizing and nonionizing collisions . By assumption ( 3 ) an electron will ionize an atom only if its energy is greater than I , the mean ionization ...
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 |
Common terms and phrases
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