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	Provedor de dados AgEcon (3) Autor Li, Ning (3) Foster, Kenneth A. (2) Preckel, Paul V. (2) Schinckel, Allan P. (2) Boys, Kathryn A. (1) Carlin, John B. (1) Coffey, Carolyn (1) Greenwood, Philip (1) Mais... Palavra-chave Marketing (2) Actopamine (1) Food Consumption/Nutrition/Food Safety (1) Missing data (1) Multiple imputation (1) Overall estimates (1) Paylean® (1) Research Methods/ Statistical Methods (1) Rubin's rule of combination (1) Swine production (1) Mais... Tipo do documento Journal Article (2) Conference Paper or Presentation (1) Ano 2005 (1) 2003 (2) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última ECONOMIC REPLACEMENT OF A HETEROGENEOUS HERD AgEcon Boys, Kathryn A.; Li, Ning; Preckel, Paul V.; Schinckel, Allan P.; Foster, Kenneth A.. A model was developed and used to determine the optimal slaughter weights of pigs with heterogeneous growth raised in a 1,000 head barn and marketed in truckload groups. Explicitly recognizing the heterogeneity of pig weights and marketing the herd over time in truckload batches can substantially increase profit. Tipo: Conference Paper or Presentation Palavras-chave: Marketing. Ano: 2005 URL: http://purl.umn.edu/19239 Tools for analyzing multiple imputed datasets AgEcon Carlin, John B.; Li, Ning; Greenwood, Philip; Coffey, Carolyn. The method of multiple imputation (MI) is used increasingly for analyzing datasets with missing observations. Two sets of tasks are required in order to implement the method: (a) generating multiple complete datasets in which missing values have been imputed by simulating from an appropriate probability distribution and (b) analyzing the multiple imputed datasets and combining complete data inferences from them to form an overall inference for parameters of interest. An increasing number of software tools are available for task (a), although this is difficult to automate, because the method of imputation should depend on the context and available covariate data. When the quantity of missing data is not great, the sensitivity of results to the imputation... Tipo: Journal Article Palavras-chave: Missing data; Multiple imputation; Rubin's rule of combination; Overall estimates; Research Methods/ Statistical Methods. Ano: 2003 URL: http://purl.umn.edu/116087 Analysis of Economically Optimal Nutrition and Marketing Strategies for Paylean® Usage in Hog Production AgEcon Li, Ning; Preckel, Paul V.; Foster, Kenneth A.; Schinckel, Allan P.. An approach to the development of the economically optimal dietary concentration of Paylean, duration of the Paylean feeding, and dietary lysine concentration for finishing hog production is presented. A simulation model describing daily growth of hogs under different Paylean and lysine concentration combinations was adapted for optimizing nutrition and marketing when feed is supplemented with Paylean. Net returns per pig space per day under four alternative payment schemes are maximized based on 10-year average price levels and production costs. Profitability of Paylean is investigated, and management strategies for swine production with Paylean are developed for two representative finishing operations. Tipo: Journal Article Palavras-chave: Paylean®; Actopamine; Swine production; Food Consumption/Nutrition/Food Safety; Marketing. Ano: 2003 URL: http://purl.umn.edu/31097 Registros recuperados: 3 Primeira ... 1 ... Última

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