1st Edition
Some Basic Theory for Statistical Inference Monographs on Applied Probability and Statistics
By E.J.G. Pitman
Copyright 1979
118 Pages
by
Chapman & Hall
118 Pages
by
Chapman & Hall
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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.
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
Biography
E.J.G. Pitman
