๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Asymptotic Theory of Testing Statistical Hypotheses: Efficient Statistics, Optimally, Power Loss, and Deficiency

โœ Scribed by Vladimir E. Bening


Publisher
VSP
Year
2000
Tongue
English
Leaves
305
Series
Modern Probability and Statistics
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Statistical Tests of Nonparametric Hypot
โœ Odile Pons ๐Ÿ“‚ Library ๐Ÿ“… 2013 ๐Ÿ› World Scientific Publishing Company ๐ŸŒ English

An overview of the asymptotic theory of optimal nonparametric tests is presented in this book. It covers a wide range of topics: Neyman Pearson and LeCam's theories of optimal tests, the theories of empirical processes and kernel estimators with extensions of their applications to the asymptotic beh

Testing Statistical Hypotheses
โœ E.L. Lehmann, Joseph P. Romano ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› Springer ๐ŸŒ English

Testing Statistical Hypotheses, 4th Edition updates and expands upon the classic graduate text, now a two-volume work. The first volume covers finite-sample theory, while the second volume discusses large-sample theory. A definitive resource for graduate students and researchers alike, this work gro

Testing Statistical Hypotheses
โœ Lehmann E. L. ๐Ÿ“‚ Library ๐Ÿ“… 195 ๐Ÿ› John Wiley & Sons, Inc. ๐ŸŒ English

A mathematical theory of hypothesis testing in which tests are derived as solutions of clearly stated optimum problems was developed by Neyman and Pearson in the 1930โ€™s and since then has been considerably extended. The purpose of the present book is to give a systematic account of this theory and o

Testing Statistical Hypotheses
โœ Erich L. Lehmann, Joseph P. Romano ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› Springer-Verlag ๐ŸŒ English

The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In add