The content and methodological procedures of adaptation period of interpretation of correlation-regression models in the improvement of methods of estimation of agricultural production efficiency | Содержание и методические приемы адаптационного этапа интерпретации корреляционно-регрессионных моделей в совершенствовании методов оценки эффективности сельхозпроизводства
2011
Kovel, P.V., Belarus State Academy of Agriculture, Gorki (Belarus)
In course of the research there were examined problems of more complete usage of methodical capabilities of correlation-regression models in the analysis of efficiency of production in agricultural companies in the conditions of the Republic of Belarus. Non-standard cases of interpretation of parameters and based the methods of regression equations adaptation and the criterion of practical application was presented. It was necessary to improve theoretical and practical methods of estimation of efficiency of using factors, resources and measures. The realized research made it possible to formulate following positions in the conclusion: the adaptable stage of interpretation of parameters of the correlation-regression analysis was a consequence of necessity of perfection of methods of an estimation of efficiency of use of resources in agricultural productions and real possibility of application for these purposes the correlation-regression analysis. At an adaptable stage in the developed resource provision system such phenomenon, as cross canceling of factor effects was often led to zero. The system approach could suppose such canceling, extending it only on some (insignificant) part of the factor (resource), but not on weigh its volume. In factor system there was a result-forming structure providing ability of the enterprises to carry out necessary volume of agricultural works and to receive expected quantity of production. Today there was a practical sense in some deviation from math-statistical canons, having entered in the adaptable analysis a principle of external addition for updating of regress factors for the purpose of an use efficiency estimation of factors (resources) and acceptance of more proved administrative decisions.
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