Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados AgEcon (1) Autor LaFrance, Jeffrey T. (1) Palavra-chave Agricultural Farm and Food Policy (1) Bayesian Method of Moments (1) Food Consumption/Nutrition/Food Safety (1) Generalized Maximum Entropy (1) Kullback-Leibler Cross Entropy (1) Nutrient Content (1) Mais... Tipo do documento Working or Discussion Paper (1) Ano 1998 (1) País United States (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última INFERRING THE NUTRIENT CONTENT OF FOOD WITH PRIOR INFORMATION AgEcon LaFrance, Jeffrey T.. Given measurements on the nutrient content of the U.S. food supply and a coherent reduced form empirical model of the demand for foods, we can analyze the effect of agricultural farm and food policy on nutrition. Using unpublished documents from the HNIS, estimates of the percentages of seventeen nutrients supplied by twenty-one foods were compiled for the period 1952-1983. The Bayesian Method of Moments is applied to this data set to obtain a proper prior for the purpose of drawing year-to-year inferences about the nutrient content of the U.S. food supply for the period 1909-1994. Information theory and the Kullback-Leibler cross entropy criterion are used to formalize the inference problem. Tipo: Working or Discussion Paper Palavras-chave: Agricultural Farm and Food Policy; Bayesian Method of Moments; Generalized Maximum Entropy; Kullback-Leibler Cross Entropy; Nutrient Content; Food Consumption/Nutrition/Food Safety. Ano: 1998 URL: http://purl.umn.edu/25067 Registros recuperados: 1 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco