Testing Statistical Hypotheses
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Beschreibung
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. TOC:1. The general decision problem; 2. The probability background; 3. Uniformly most powerful tests; 4. Unbiasedness: Theory and first applications; 5. Unbiasedness: Applications to normal distributions; Confidence intervals; 6. Invariance; 7. Linear hypotheses; 8. Multivariate linear hypotheses; 9. The minimax principle; 10. Conditional inference
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