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Branching Processes with Time-Dependent Immigration

  • Ibrahim Rahimov
Part of the Lecture Notes in Statistics book series (LNS, volume 96)

Abstract

In this chapter we will investigate in detail the asymptotic behavior of a concrete model of branching processes with immigration dependent on time. More exactly, we will consider the Galton-Watson process with non- homogeneous (independent of reproduction) immigration. In contrast to Chapter II, we shall demonstrate here a combination of analytical and probability methods.

Keywords

Limit Theorem Partial Process Finite Variance Local Limit Theorem Classical Limit Theorem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York, Inc. 1995

Authors and Affiliations

  • Ibrahim Rahimov
    • 1
    • 2
  1. 1.The Institute of MathematicsThe Academy of Sciences of the Republic of UzbekistanTashkentUzbekistan
  2. 2.Department of StatisticsMiddle East Technical UniversityAnkaraTurkey

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