## 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 3

To compare the two

the population size was represented by a real-valued and continuous function of

time, while in the

To compare the two

**models**, we first observe that in the deterministic approachthe population size was represented by a real-valued and continuous function of

time, while in the

**stochastic**approach we start by assuming that the random ...Page 180

In this section we formulate a general

two species and then consider several special cases of this model that are of

interest. Before considering the

In this section we formulate a general

**stochastic model**of interaction betweentwo species and then consider several special cases of this model that are of

interest. Before considering the

**stochastic model**, we give a brief sketch of two ...Page 193

The first

and Delbriick [66]. For a discussion of these models we refer to the original

papers, and the paper of Armitage. Before considering several

of ...

The first

**stochastic models**were introduced by Lea and Coulson [64] and Luriaand Delbriick [66]. For a discussion of these models we refer to the original

papers, and the paper of Armitage. Before considering several

**stochastic models**of ...

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### Contents

Introduction | 1 |

Processes Discrete in Space and Time | 9 |

Processes Discrete in Space and Continuous in Time | 57 |

Copyright | |

10 other sections not shown

### 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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