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      Birth, immigration and catastrophe processes

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      Advances in Applied Probability
      JSTOR

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          Abstract

          We consider Markov models for growth of populations subject to catastrophes. Emphasis is placed on discrete-state models where immigration is possible and the catastrophe rate is population-dependent. Explicit formulas for descriptive quantities of interest are derived when catastrophes reduce population size by a random amount which is either geometrically, binomially or uniformly distributed. Comparison is made with continuous-state Markov models in the literature in which population size evolves continuously and deterministically upwards between random jumps downward.

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          Logistic growth with random density independent disasters

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            Persistence times of populations with large random fluctuations

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              A branching process with disasters

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                Author and article information

                Journal
                applab
                Advances in Applied Probability
                Adv. Appl. Probab.
                JSTOR
                0001-8678
                1475-6064
                December 1982
                July 1 2016
                December 1982
                : 14
                : 04
                : 709-731
                Article
                10.2307/1427020
                be2513f7-ff04-4a8b-8150-7b54e49ef9a5
                © 1982
                History

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