Statistical Prediction Analysis

by J. Aitchison, I. R. Dunsmore

Overview

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. 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.

Product Details

ISBN-13:	9780521298582
Publisher:	Cambridge University Press
Publication date:	02/28/1980
Pages:	288
Product dimensions:	5.98(w) x 9.02(h) x 0.63(d)

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.

Editorial Reviews

'…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

From the Publisher