Statistical inference for branching processes

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Last edited by Kaustubh Chakraborty
December 13, 2021 | History

Statistical inference for branching processes

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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 Bienaym?-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.

Publish Date
Publisher
Wiley
Language
English
Pages
211

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Edition Availability
Cover of: Statistical inference for branching processes
Statistical inference for branching processes
1991, Wiley
in English

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Book Details


Edition Notes

Includes bibliographical references (p. 195-204) and indexes.
"A Wiley-Interscience publication."

Published in
New York
Series
Wiley series in probability and mathematical statistics.

Classifications

Dewey Decimal Class
519.2/34
Library of Congress
QA274.76 .G88 1991, QA274.76.G88 1991

The Physical Object

Pagination
xii, 211 p. :
Number of pages
211

ID Numbers

Open Library
OL1864324M
ISBN 10
0471822914
LCCN
90022224
Goodreads
2765861

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History

Download catalog record: RDF / JSON
December 13, 2021 Edited by Kaustubh Chakraborty Added description
December 4, 2010 Edited by Open Library Bot Added subjects from MARC records.
April 28, 2010 Edited by Open Library Bot Linked existing covers to the work.
December 10, 2009 Created by WorkBot add works page