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Statistical Inference for Branching Processes By Peter Guttorp

Statistical Inference for Branching Processes

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Illustrated throughout with theoretical results and scientific applications of the methods presented, this text demonstrates the problems of statistical inference that occur when the standard assumption of independent observations is relaxed.
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Statistical Inference for Branching Processes Summary


Statistical Inference for Branching Processes by Peter Guttorp

Using one of the simplest possible cases, this book illustrates the problems of statistical inference that can arise when the standard assumption of independent observations is relaxed. It contains observations on the generation sizes of a Bienayme-Galton-Watson process. In addition, problems of conditional inference and ancilliarity in stochastic processes are presented in this context, both for estimation and testing problems. Throughout the book, theoretical results are illustrated in special cases and scientific applications of the theory and method are presented. A chapter has been devoted to Bayesian methods of inference.

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Additional information

GOR010330417
Statistical Inference for Branching Processes by Peter Guttorp
Peter Guttorp
Probability & Mathematical Statistics S.
Used - Very Good
Hardback
John Wiley and Sons Ltd
1991-09-12
224
0471822914
9780471822912
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us.