Variance Estimators in Branching Processes with Non-Homogeneous Immigration

Authors

  • Ibrahim Rahimov* Zayed University,
  • George Yanev University of Texas - Pan American

DOI:

https://doi.org/10.11145/70

Abstract

Branching processes with immigration were proposed to study the temporal development of populations of differentiated cells in [3] and more recently in [1]. More specifically, terminally differentiated oligodendrocytes of the central nervous system and leukemia cells were analyzed. In both cases the cell population expanded through both division of existing (progenitor) cells and differentiation of stem cells. The population’s viability was preserved by allowing the immigration distribution to vary in time. We construct conditional least-squares estimators for the offspring variance assuming that the immigration mean increases to infinity over time. The asymptotic normality of the proposed estimators is established. Part of the results was published in ...

Author Biographies

Ibrahim Rahimov*, Zayed University,

Professor

Department of Mathematics and Statistics

George Yanev, University of Texas - Pan American

Associate Professor

Department of Mathematics

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Published

2013-04-17

Issue

Section

Conference Contributions