Statistical inference for branching processes
Peter Guttorp
Reading Time
at 250 WPM3h 31m
The average reader, reading at a speed of 250 WPM, would take 3h 31m to read Statistical inference for branching processes.
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8
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211
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Statistical inference for branching processes
Published
1991
Publisher
Wiley
Pages
211
ISBN-10
0471822914
Description
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.
Frequently Asked Questions
How many pages are in Statistical inference for branching processes?
This edition of Statistical inference for branching processes has approximately 211 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Statistical inference for branching processes?
For most readers, Statistical inference for branching processes typically takes between 4h 24m and 2h 56m to complete. This is based on the book's length of approximately 52,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 3h 31m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 8 days • Estimated word count: 52,750 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Statistical inference for branching processes?
The estimated word count for Statistical inference for branching processes is approximately 52,750 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Statistical inference for branching processes?
Statistical inference for branching processes was written by Peter Guttorp.
When was Statistical inference for branching processes published?
The publication date for this specific edition is 1991. The original work may have been published on a different date.