Two Expository Notes on Statistical Inference: Generalized Maximum Likelihood

Language: English

Published by Forgotten Books, 2017

1330012453 / 9781330012451

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Print on Demand. This book merges statistical estimation and inductive reasoning, creating a comprehensive guide to interpreting statistical data. The research presented in this book both builds on the established foundations of statistical theory and expands on them to offer new and approachable techniques of data estimation. The author presents new ways to assess and compare estimators, offering practical techniques of statistical inference and probing deeper into the inherent relationship between likelihood functions and efficient statistical inference. The author presents generalized maximum likelihood methods with exact justifications on two levels, one theoretical and one practical, and solves the problems of statistical estimation using an intuitive approach based on score functions. In addition to these advancements, this book provides a comprehensive treatment of confidence curves, a technique that incorporates the strengths of point estimation, confidence limits, and confidence intervals, creating an omnibus technique that streamlines and expands the utility of statistical inference. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.

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Title
Two Expository Notes on Statistical Inference: Generalized Maximum Likelihood
Author
Allan Birnbaum
Publisher
Forgotten Books
Publication year
2017
Condition
New
Book Type
print-on-demand item
Binding
Paperback
Language
English
ISBN 10
1330012453
ISBN 13
9781330012451
Seller catalogs
Statistics

Forgotten Books

London, United Kingdom

5-star seller

AbeBooks seller since June 2, 2021

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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.

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