Statistical Prediction Analysis
Statistical Prediction Analysis
I. R. Dunsmore
NZD$81.95
inc GSTPractitioners 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. In this book the authors provide the predictor with the data and formulae which will assist in accurate forecasting, and suggest that an effective answer is to be found in the concept of predictive distribution within the framework of statistical prediction analysis. An applied mathematical approach is adopted throughout and the book is aimed at readers with some statistical knowledge, final year undergraduates, numerate scientists, technologists and medical workers interested in predictive techniques.
Reviews & endorsements
'…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
Product details
April 1980Paperback
9780521298582
288 pages
229 × 152 × 16 mm
0.43kg
Available
Table of Contents
- 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.
