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
โ Scribed by E. L. Lehmann (auth.)
- Publisher
- Springer New York
- Year
- 1986
- Tongue
- English
- Leaves
- 619
- Series
- Springer Texts in Statistics
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content:
Front Matter....Pages i-xx
The General Decision Problem....Pages 1-33
The Probability Background....Pages 34-67
Uniformly Most Powerful Tests....Pages 68-133
Unbiasedness: Theory and First Applications....Pages 134-187
Unbiasedness: Applications to Normal Distributions; Confidence Intervals....Pages 188-281
Invariance....Pages 282-364
Linear Hypotheses....Pages 365-452
Multivariate Linear Hypotheses....Pages 453-503
The Minimax Principle....Pages 504-538
Conditional Inference....Pages 539-568
Back Matter....Pages 569-604
๐ SIMILAR VOLUMES
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 1930โs and since then has been considerably extended. The purpose of the present book is to give a systematic account of this theory and o
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
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