Practitioners of many skills face the need to make some realistic statement about the likely outcome of a future 'experiment of interest' on the basis of observed variability of outcomes in previously conducted related experiments.
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'...this is a rare and important textbook. Important because it is the first to address itself to predictivism and rare due to its expository clarity and lucidity and both for the care and effort that went into the work.' Bulletin of the American Mathematical Society
Preface; 1. Introduction; 2. Predictive distributions; 3. Decisive prediction; 4. Informative prediction; 5. Mean coverage tolerance prediction; 6. Guaranteed coverage tolerance prediction; 7. Other approaches to prediction; 8. Sampling inspection; 9. Regulation and optimisation; 10. Calibration; 11. Diagnosis; 12. Treatment allocation; Appendix; Bibliography; Author Index; Subject Index; Example and problem index.
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