It is an honor to be asked to write a foreword to this book, for I believe that it and other books to follow will eventually lead to a dramatic change in the current statistics curriculum in our universities. I spent the 1975-76 academic year at Florida State University in Tallahassee. My purpose was to complete a book on Statistical Reliability Theory with Frank Proschan. At the time, I was working on total time on test processes. At the same time, I started attending lectures by Dev Basu on statistical inference. It was Lehmann's hypothesis testing course and Lehmann's book was the text. However, I noticed something strange - Basu never opened the book. He was obviously not following it. Instead, he was giving a very elegant, measure theoretic treatment of the concepts of sufficiency, ancillarity, and invariance. He was interested in the concept of information - what it meant. - how it fitted in with contemporary statistics. As he looked at the fundamental ideas, the logic behind their use seemed to evaporate. I was shocked. I didn't like priors. I didn't like Bayesian statistics. But after the smoke had cleared, that was all that was left. Basu loves counterexamples. He is like an art critic in the field of statistical inference. He would find a counterexample to the Bayesian approach if he could. So far, he has failed in this respect.

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Editors and Affiliations

Indian Statistical Institute, Calcutta, India

J. K. Ghosh

Bibliographic Information

Book Title: Statistical Information and Likelihood
Book Subtitle: A Collection of Critical Essays by Dr. D. Basu
Editors: J. K. Ghosh
Series Title: Lecture Notes in Statistics
DOI: https://doi.org/10.1007/978-1-4612-3894-2
Publisher: Springer New York, NY
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag New York Inc. 1988
Softcover ISBN: 978-0-387-96751-6Published: 12 July 1988
eBook ISBN: 978-1-4612-3894-2Published: 06 December 2012
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: XIX, 365
Topics: Applications of Mathematics

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Table of contents (24 chapters)

Front Matter

Information and Likelihood

Front Matter

Survey Sampling and Randomization

Front Matter

Miscellaneous Notes and Discussions

Front Matter

About this book

Keywords

Editors and Affiliations

Indian Statistical Institute, Calcutta, India

Bibliographic Information

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