Some basic theory for statistical inference
著者
書誌事項
Some basic theory for statistical inference
（Monographs on applied probability and statistics）（CRC revivals）
CRC Press, 2018, c1979
- : hbk
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注記
"First published 1979 by CRC Press, Taylor & Francis Group ... Reissued 2018 by CRC Press"--T.p. verso
Includes bibliographical references (p. 107) and index
内容説明・目次
内容説明
In this book the author presents with elegance and precision some of the basic mathematical theory required for statistical inference at a level which will make it readable by most students of statistics.
目次
1. Basic principles of the theory of inference, the likelihood principle, sufficient statistics 2. Distance between probability measures 3. Sensitively of a family of probability measures with respect to a parameter 4. Sensitivity rating, conditional sensitivity, the discrimination rate statistic 5. Efficacy, sensitivity, the cramer-rao inequality 6. Many parameters, the sensitivity matrix 7. Asymptotic power of a test, asymptotic relative efficiency 8. Maximum likelihood estimation 9. The sample distribution function
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