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Western Journal of Agricultural Economics >
Volume 13, Number 01, July 1988 >
Please use this identifier to cite or link to this item:
http://purl.umn.edu/32150
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| Title: | AN EMPIRICAL BAYES APPROACH TO MODELING DROUGHT |
| Authors: | Chamberlain, P.J. |
| Issue Date: | 1988-07 |
| Abstract: | This paper illustrates an alternative approach to estimating the occurrence of drought. The empirical Bayes methodology was developed because of deficiencies in time-series and regression analysis with respect to prediction of drought. This manuscript is comprised of (a) a discussion of "classical" and Bayes estimators of probability density (or mass) functions, (b) a description of the model, and (c) a comparison of the performances of the empirical Bayes and two classical estimators in predicting the elapsed time until drought. The Bayes value (incorporating both a priori and data information) was found to be superior to the traditional estimates. |
| URI: | http://purl.umn.edu/32150 |
| Institution/Association: | Western Journal of Agricultural Economics>Volume 13, Number 01, July 1988 |
| Total Pages: | 8 |
| Language: | English |
| From Page: | 92 |
| To Page: | 99 |
| Collections: | Volume 13, Number 01, July 1988
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| 13010092.pdf | 510Kb | PDF | View/Open |
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