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MATHEMATICAL MODEL OF CHANNEL CATFISH FOODFISH PRODUCTION INMULTIPLE-BATCH

机译:多批次通道养鱼食品生产的数学模型

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摘要

Market size requirements for catfish change periodically, and catfish farmers must adjust quickly. Data from catfish pond studies at the University of Arkansas at Pine Bluff (UAPB) were used to develop mathematical models of catfish foodfish in multiple-batch culture across a variety of management alternatives. Two different functional forms (Cobb-Douglas and a modified translog) were each developed into average and stochastic frontier models. Inefficiency terms were found to be non-significant in the frontier models, thus making the average and frontier models equivalent. In the average regression models, the modified translog form demonstrated superior statistical values as compared to the Cobb-Douglas form, but the latter resulted in lower prediction error and was validated with the Chow test when used to predict observations from commercial catfish farms. This approach appears to have merit from the perspective of its statistical properties, and represents a step towards development of a model that could be used for farm management purposes.
机译:cat鱼的市场规模要求会定期变化,and鱼养殖者必须迅速调整。阿肯色大学派恩布拉夫分校(UAPB)的cat鱼池塘研究数据用于在多种管理方式下的多批次养殖中开发cat鱼食用鱼的数学模型。两种不同的功能形式(Cobb-Douglas和改进的对数)分别发展为平均和随机边界模型。发现在边界模型中无效项不重要,因此使平均模型和边界模型等效。在平均回归模型中,与Cobb-Douglas形式相比,改良的对数形式具有更好的统计值,但后者导致较低的预测误差,并在用于预测商业commercial鱼养殖场的观测值时已通过Chow检验进行了验证。从其统计属性的角度来看,此方法似乎具有优点,并且代表着朝着可用于农场管理目的的模型发展的一步。

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