Predictive Inference

Front Cover
CRC Press, Jun 1, 1993 - Mathematics - 240 pages
The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive applications of the Bayesian approach. It not only substitutes predictive analyses for parametric analyses, but it also presents predictive analyses that have no real parametric analogues. It demonstrates that predictive inference can be a critical component of even strict parametric inference when dealing with interim analyses. This approach to predictive inference will be of interest to statisticians, psychologists, econometricians, and sociologists.
 

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Contents

Bayesian prediction
47
Problems of comparison and allocation
118
Perturbation analysis
129
Process control and optimization
154
Screening tests for detecting a characteristic
169
Interim analysis and sampling curtailment
222
Bibliography
252
Author Index
259
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