Parametric statistical models and likelihood
Ole E. Barndorff-Nielsen
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at 250 WPM4h 36m
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Parametric statistical models and likelihood
Published
1988
Publisher
Springer-Verlag
Pages
276
ISBN-10
0387969284
Description
The book gives an account of the mathematical-statistical theory of the main classes of parametric statistical models, i.e. transformatioon models and exponential models, and of likelihood based inference. The emphasis is on recent developments - various new results are presented - and the mathematical techniques employed include parts of the theory of group actions and invariant measures, differential geometry, and asymptotic analysis. A knowledge of these techniques is not presupposed but will be helpful, as the exposition is partly quite succinct. A basic knowledge of classic parametric statistical inference is however assumed. Exactness results and high-order asymptotic results for important likelihood quantities, including maximum likelihood estimators, score vectors, (signed) likelihood ratios and (modified) profile likelihoods, are discussed. Concepts of ancillarity and sufficiency enter prominently.
Frequently Asked Questions
How many pages are in Parametric statistical models and likelihood?
This edition of Parametric statistical models and likelihood has approximately 276 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 Parametric statistical models and likelihood?
For most readers, Parametric statistical models and likelihood typically takes between 5h 45m and 3h 50m to complete. This is based on the book's length of approximately 69,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 36m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 10 days • Estimated word count: 69,000 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 Parametric statistical models and likelihood?
The estimated word count for Parametric statistical models and likelihood is approximately 69,000 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 Parametric statistical models and likelihood?
Parametric statistical models and likelihood was written by Ole E. Barndorff-Nielsen.
When was Parametric statistical models and likelihood published?
The publication date for this specific edition is 1988. The original work may have been published on a different date.