Statistical Inference for Branching Processes

Statistical Inference for Branching Processes
Author :
Publisher : Wiley-Interscience
Total Pages : 232
Release :
ISBN-10 : UOM:39015021518686
ISBN-13 :
Rating : 4/5 (86 Downloads)

Book Synopsis Statistical Inference for Branching Processes by : Peter Guttorp

Download or read book Statistical Inference for Branching Processes written by Peter Guttorp and published by Wiley-Interscience. This book was released on 1991-08-19 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: An examination of the difficulties that statistical theory and, in particular, estimation theory can encounter within the area of dependent data. This is achieved through the study of the theory of branching processes starting with the demographic question: what is the probability that a family name becomes extinct? Contains observations on the generation sizes of the Bienaymé-Galton-Watson (BGW) process. Various parameters are estimated and branching process theory is contrasted to a Bayesian approach. Illustrations of branching process theory applications are shown for particular problems.


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