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Análisis de tendencias en valores extremos de variables meteorológicas importantes para la agricultura. Colegio de Postgraduados
Blanco Ramírez, Ma. Esperanza.
Se propone una metodología basada en la teoría de valores extremos para investigar cambios espacio temporales en la tendencia a largo plazo de variables meteorológicas (precipitación y temperatura). Se presenta un ejemplo de aplicación para el estado de Durango, México, analizando los máximos anuales de las variables temperatura máxima, temperatura mínima y precipitación ocurridos durante el período de 1961 a 2000. Esta metodología puede ser de utilidad en la investigación del cambio climático a nivel regional. Los resultados se presentan en mapas de tendencias de eventos extremos. Para el caso del estado de Durango se observan cambios en el comportamiento de eventos extremos, manifestándose una clara tendencia a la ocurrencia de años más secos y más...
Palavras-chave: Series de tiempo; Modelo Lineal Vectorial Generalizado; Interpolación espacial; Time series; Extreme value theory; Vector generalized linear model; Spatial interpolation; Estadísica; Maestría.
Ano: 2012 URL: http://hdl.handle.net/10521/1728
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Crop Yield Skewness under the Law of Minimum Technology AgEcon
Hennessy, David A..
A large empirical literature exists seeking to identify crop yield distributions. Consensus has not yet formed. This is in part because of data aggregation problems but also in part because no satisfactory motivation has been forwarded in favor of any distribution, including the normal. This article explores the foundations of crop yield distributions for the Law of the Minimum, or weakest-link, resource constraint technology. It is shown that heterogeneity in resource availabilities can increase expected yield. The role of stochastic dependence is studied for the technology. With independent, identical, uniform resource availability distributions the yield skew is positive, whereas it is negative whenever the distributions are normal. Simulations show how...
Tipo: Working or Discussion Paper Palavras-chave: Beta-normal distribution; Crop insurance; Extreme value theory; Liebig technology; Limiting factors; Order statistics; Reliability; Weakest link; Crop Production/Industries; Research and Development/Tech Change/Emerging Technologies.
Ano: 2007 URL: http://purl.umn.edu/9238
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Forecasting Demand for Rural Electric Cooperative Call Center AgEcon
Kim, Taeyoon; Kenkel, Philip L.; Brorsen, B. Wade.
This research forecasts peak call volume to allow a centralized call center to minimize staffing costs. A Gaussian copula is used to capture the dependence among nonnormal distributions. Peak call volume can be easily and more accurately predicted using the marginal probability distribution with the copula function than without using a copula. The modeling approach allows simulating adding another cooperative. Ignoring the dependence that the copula includes, causes peak values to be underestimated.
Tipo: Conference Paper or Presentation Palavras-chave: Call center data; Empirical distribution; Extreme value theory; Forecasting; Gamma distribution; Gaussian copula; Simulation; Agribusiness; Demand and Price Analysis; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/46809
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Estimation of the agricultural probability of loss: evidence for soybean in Paraná state Rev. Econ. Sociol. Rural
Ozaki,Vitor Augusto; Olinda,Ricardo; Faria,Priscila Neves; Campos,Rogério Costa.
In any agricultural insurance program, the accurate quantification of the probability of the loss has great importance. In order to estimate this quantity, it is necessary to assume some parametric probability distribution. The objective of this work is to estimate the probability of loss using the theory of the extreme values modeling the left tail of the distribution. After that, the estimated values will be compared to the values estimated under the normality assumption. Finally, we discuss the implications of assuming a symmetrical distribution instead of a more flexible family of distributions when estimating the probability of loss and pricing the insurance contracts. Results show that, for the selected regions, the probability distributions present...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Risk; Extreme value theory; Probability of loss; Crop insurance.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032014000100002
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