Two Expository Notes on Statistical Inference: Generalized Maximum Likelihood
Language: English
Published by Forgotten Books, 2017
- Softcover
- New



Seller: Forgotten Books, London, United KingdomForgotten Books
AbeBooks seller since June 2, 2021
Condition: New
US$ 17.65
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Add to basketItem description from seller
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.…
Seller Inventory # 9781330012451_0
- 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
Explore a flexible approach to estimation and tests that fits real data use .
This note presents confidence curves as a practical, omnibus tool for learning from data, blending estimation with testing in a single framework.
This work explains how to interpret significance tests in a way that separates formal statistical significance from practical significance in real contexts. It shows how confidence curves unify point estimates, confidence limits, and hypothesis testing at various levels, especially in one-parameter problems. The ideas are framed to be usable in applied statistics, with attention to making interpretations less tied to fixed levels.- Learn how a confidence curve estimate is built from confidence limits at multiple levels
- See how to report a complete, flexible picture of uncertainty for a parameter
- Understand how one- and two-sided tests relate to confidence limits and curves
- Discover how this approach connects traditional methods to practical data analysis
"Synopsis" may belong to another edition of this title.
Forgotten Books
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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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