Accession Number : AD0786904

Title :   Mathematical-Statistical Models for Predicting the Development of Agriculture in the Socialist Federated Republic of Yugoslavia,


Personal Author(s) : Galev,T.

Report Date : 18 SEP 1974

Pagination or Media Count : 9

Abstract : At the present time, different mathematical-statistical models for predicting and programming the development of agricultural production are being worked out. They can be combined into three basic groups: models based on regression analysis, models obtained by linear programming and models based on a combination of regression analysis and linear programming. Regression analysis is used primarily to predict the development of specific trends of agricultural production on the basis of analysis of time series and production functions. Models based on regression analysis are especially suitable for working out prediction of the development of individual trends of agricultural development on the international level.

Descriptors :   *Agriculture, Production, Regression analysis, Mathematical models, Linear programming, Forecasting, Time series analysis, Food, Agronomy, Industries, Translations, Yugoslavia

Subject Categories : Agricultural Economics
      Agronomy, Horticulture and Aquiculture
      Animal Husbandry and Veterinary Medicine

Distribution Statement : APPROVED FOR PUBLIC RELEASE