Data/hora: 10/06/2024 06:34:13

Provedor de dados: | Research in Agricultural & Applied Economics (AgEcon Searh)
País: | United States
Título: | AN EMPIRICAL BAYES APPROACH TO MODELING DROUGHT
Autores: | Chamberlain,   P.J.
Data: | 2003-12-23
Ano: | 1988
Palavras-chave: | Resource /Energy Economics and Policy.
Resumo: | 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.
Tipo: | Journal Article
Idioma: | Inglês

Identificador:

11653

http://purl.umn.edu/32150

Editor: | AgEcon Search
Relação: | Western Journal of Agricultural Economics&gt;Volume 13, Number 01, July 1988

Formato:

8

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