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	Provedor de dados AgEcon (1) Anais da ABC (AABC) (1) Autor AFIFY,AHMED Z. (1) CAKMAKYAPAN,SELEN (1) CORDEIRO,GAUSS M. (1) Hennessy, David A. (1) OZEL,GAMZE (1) YOUSOF,HAITHAM M. (1) Mais... Palavra-chave Order statistics (2) Beta-normal distribution (1) Crop Production/Industries (1) Crop insurance (1) Extreme value theory (1) Liebig technology (1) Limiting factors (1) Lindley G-Family (1) Maximum likelihood (1) Moments (1) Reliability (1) Research and Development/Tech Change/Emerging Technologies (1) Weakest link (1) Mais... Tipo do documento Info:eu-repo/semantics/article (1) Working or Discussion Paper (1) Ano 2018 (1) 2007 (1) País Brazil (1) United States (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última 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 The Lindley Weibull Distribution: properties and applications Anais da ABC (AABC) CORDEIRO,GAUSS M.; AFIFY,AHMED Z.; YOUSOF,HAITHAM M.; CAKMAKYAPAN,SELEN; OZEL,GAMZE. Abstract We introduce a new three-parameter lifetime model called the Lindley Weibull distribution, which accommodates unimodal and bathtub, and a broad variety of monotone failure rates. We provide a comprehensive account of some of its mathematical properties including ordinary and incomplete moments, quantile and generating functions and order statistics. The new density function can be expressed as a linear combination of exponentiated Weibull densities. The maximum likelihood method is used to estimate the model parameters. We present simulation results to assess the performance of the maximum likelihood estimation. We prove empirically the importance and flexibility of the new distribution in modeling two data sets. Tipo: Info:eu-repo/semantics/article Palavras-chave: Lindley G-Family; Maximum likelihood; Moments; Order statistics. Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000602579 Registros recuperados: 2 Primeira ... 1 ... Última

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