Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
About this product
Product Identifiers
PublisherCambridge University Press
ISBN-10052129858X
ISBN-139780521298582
eBay Product ID (ePID)3038272231
Product Key Features
Number of Pages288 Pages
LanguageEnglish
Publication NameStatistical Prediction Analysis
SubjectProbability & Statistics / General, Probability & Statistics / Multivariate Analysis
Publication Year1980
TypeTextbook
AuthorI. R. Dunsmore, J. Aitchison
Subject AreaMathematics
FormatTrade Paperback
Dimensions
Item Height0.6 in
Item Weight15.2 Oz
Item Length9 in
Item Width6 in
Additional Product Features
Intended AudienceScholarly & Professional
Dewey Edition19
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, '…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
IllustratedYes
Dewey Decimal519.5/4
Table Of ContentPreface; 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.
SynopsisPractitioners 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, 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., 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.