Testing Statistical Hypotheses (Springer Texts in Statistics)
โ Scribed by Erich Lehmann, Joseph P. Romano
- Publisher
- Springer
- Year
- 2005
- Tongue
- English
- Leaves
- 793
- Edition
- 3rd
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This classic textbook, now available from Springer, summarizes developments in the field of hypotheses testing. Optimality considerations continue to provide the organizing principle. However, they are now tempered by a much stronger emphasis on the robustness properties of the resulting procedures. This book is an essential reference for any graduate student in statistics.
โฆ Table of Contents
Testing Statistical Hypothese
s......Page 1
Front Matter
......Page 2
Contents
......Page 8
Part I
......Page 14
Ch 1......Page 15
Ch 2......Page 40
Ch 3......Page 68
Ch 4......Page 122
Ch 5......Page 162
Ch 6......Page 224
Ch 7......Page 289
Ch 8......Page 331
Ch 9......Page 360
Ch 10......Page 404
Part II
......Page 428
Ch 11......Page 429
Ch 12......Page 492
Ch 13......Page 537
Ch 14......Page 593
Ch 15......Page 641
Appendix
......Page 702
References
......Page 712
Author Index
......Page 767
Subject Index
......Page 776
โฆ Subjects
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๐ SIMILAR VOLUMES
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
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