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	Provedor de dados AgEcon (2) Autor Bernardo, Daniel J. (1) Coulibaly, Nouhoun (1) Horn, Gerald W. (1) Pickles, Andrew (1) Rabe-Hesketh, Sophia (1) Skrondal, Anders (1) Mais... Palavra-chave Numerical integration (2) Adaptive integration (1) Adaptive quadrature (1) Clustered data (1) Energy supplementation (1) Generalized linear mixed models (1) Gllamm (1) Livestock Production/Industries (1) Multilevel models (1) Panel data (1) Random-effects models (1) Research Methods/ Statistical Methods (1) Risk (1) Wheat pasture grazing (1) Mais... Tipo do documento Journal Article (2) Ano 2002 (1) 1996 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Reliable estimation of generalized linear mixed models using adaptive quadrature AgEcon Rabe-Hesketh, Sophia; Skrondal, Anders; Pickles, Andrew. Generalized linear mixed models or multilevel regression models have become increasingly popular. Several methods have been proposed for estimating such models. However, to date there is no single method that can be assumed to work well in all circumstances in terms of both parameter recovery and computational efficiency. Stata’s xt commands for two-level generalized linear mixed models (e.g., xtlogit) employ Gauss–Hermite quadrature to evaluate and maximize the marginal log likelihood. The method generally works very well, and often better than common contenders such as MQL and PQL, but there are cases where quadrature performs poorly. Adaptive quadrature has been suggested to overcome these problems in the two-level case. We have recently implemented a... Tipo: Journal Article Palavras-chave: Adaptive quadrature; Gllamm; Generalized linear mixed models; Random-effects models; Panel data; Numerical integration; Adaptive integration; Multilevel models; Clustered data; Research Methods/ Statistical Methods. Ano: 2002 URL: http://purl.umn.edu/115947 ENERGY SUPPLEMENTATION STRATEGIES FOR WHEAT PASTURE STOCKER CATTLE UNDER UNCERTAIN FORAGE AVAILABILITY AgEcon Coulibaly, Nouhoun; Bernardo, Daniel J.; Horn, Gerald W.. Energy supplementation provides a means of reducing production risk of growing stocker cattle on winter wheat pasture. This study addresses the issue of risk aversion and energy supplement input use. Differences in supplementation practices induced by risk aversion and the effects of cattle and feed market conditions are examined. Results show that supplementation practices are likely to be similar across producers, irrespective of their risk attitudes. Cattle and feed market conditions, however, markedly affect supplementation practices. These findings provide information for assisting stockmen in identifying efficient supplement strategies. Tipo: Journal Article Palavras-chave: Risk; Wheat pasture grazing; Numerical integration; Energy supplementation; Livestock Production/Industries. Ano: 1996 URL: http://purl.umn.edu/15244 Registros recuperados: 2 Primeira ... 1 ... Última

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