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Mathematical Statistics : Essays on History and Methodology / by Johann Pfanzagl.
Springer Nature - Springer Mathematics and Statistics eBooks 2017 English International Available online
View online- Format:
- Book
- Author/Creator:
- Pfanzagl, J. (Johann), Author.
- Series:
- Perspectives in Statistics, 2522-042X
- Language:
- English
- Subjects (All):
- Statistics.
- Probabilities.
- Mathematics.
- History.
- Mathematical statistics--Data processing.
- Mathematical statistics.
- Statistical Theory and Methods.
- Probability Theory.
- History of Mathematical Sciences.
- Statistics and Computing.
- Local Subjects:
- Statistical Theory and Methods.
- Probability Theory.
- History of Mathematical Sciences.
- Statistics and Computing.
- Physical Description:
- 1 online resource (316 pages).
- Edition:
- 1st ed. 2017.
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2017.
- Summary:
- This book presents a detailed description of the development of statistical theory. In the mid twentieth century, the development of mathematical statistics underwent an enduring change, due to the advent of more refined mathematical tools. New concepts like sufficiency, superefficiency, adaptivity etc. motivated scholars to reflect upon the interpretation of mathematical concepts in terms of their real-world relevance. Questions concerning the optimality of estimators, for instance, had remained unanswered for decades, because a meaningful concept of optimality (based on the regularity of the estimators, the representation of their limit distribution and assertions about their concentration by means of Anderson’s Theorem) was not yet available. The rapidly developing asymptotic theory provided approximate answers to questions for which non-asymptotic theory had found no satisfying solutions. In four engaging essays, this book presents a detailed description of how the use of mathematical methods stimulated the development of a statistical theory. Primarily focused on methodology, questionable proofs and neglected questions of priority, the book offers an intriguing resource for researchers in theoretical statistics, and can also serve as a textbook for advanced courses in statistics.
- Contents:
- Introduction
- Sufficiency
- Descriptive Statistics
- Optimality of unbiased estimators: nonasymptotic theory
- Asymptotic optimality of estimators
- Bibliography
- Index.
- Notes:
- Includes bibliographical references at the end of each chapters and indexes.
- ISBN:
- 9783642310836
- 9783642310843 (electronic)
- 2197568x (electronic iSBN)
- 01727397 (ISSN)
- 2197568x (electronic ISSN)
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