Some Basic Theory for Statistical Inference : Monographs on Applied Probability and Statistics / by E.J.G. Pitman.

Some Basic Theory for Statistical Inference : Monographs on Applied Probability and Statistics /

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.

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Bibliographic Details
Main Author: Pitman, E.J.G (Author)
Corporate Author: Taylor and Francis
Format: Electronic eBook
Language:English
Published: Boca Raton, FL : Chapman and Hall/CRC, [2018]
Edition:First edition.
Subjects:
Mathematical statistics.
Mathematics > Applied.
Mathematics > Probability & Statistics > General.
Electronic books.
Online Access: Full text (WIT users only)
Table of Contents:
  • 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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