Abstract
Prediction intervals (or sets) having certain characteristics fulfill the role of confidence and tolerance intervals in estimation theory. We start with some general concepts and two examples. For further reading on prediction and tolerance intervals, the reader is referred to the book by Aitchison and Dunsmore (1975) and the review paper by Bjørnstad (1990).
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© 1992 Springer-Verlag New York Inc.
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Bolfarine, H., Zacks, S. (1992). Classical and Bayesian Prediction Intervals. In: Prediction Theory for Finite Populations. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2904-9_6
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DOI: https://doi.org/10.1007/978-1-4612-2904-9_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-7713-2
Online ISBN: 978-1-4612-2904-9
eBook Packages: Springer Book Archive