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Part of the book series: Meteorological Monographs ((METEOR,volume 20))

Abstract

The objective of this monograph is to introduce to the climatological and meteorological community a set of statistical techniques for making predictions about events that can at best be described as being the output of a stochastic process. These techniques are especially useful when one’s knowledge of the system is incomplete and there is only limited empirical evidence; these are situations where most of the more widely known approaches are of little help. The techniques themselves are very general, but they will be presented here in the context of climatological and meteorological applications, especially the former.

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© 1985 American Meteorological Society

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Epstein, E.S. (1985). Introduction. In: Statistical Inference and Prediction in Climatology: A Bayesian Approach. Meteorological Monographs, vol 20. American Meteorological Society, Boston, MA. https://doi.org/10.1007/978-1-935704-27-0_1

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  • DOI: https://doi.org/10.1007/978-1-935704-27-0_1

  • Publisher Name: American Meteorological Society, Boston, MA

  • Online ISBN: 978-1-935704-27-0

  • eBook Packages: Springer Book Archive

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