STATISTICAL ANALYSIS OF CLIMATIC CONDITIONS IN THE NORTH-WEST RUSSIA AFFECTING GRASS FODDER PRODUCTION
The article presents two methods of using multivariate statistical analysis to describe the factors of stochastic nature, which affect the technological process of grass fodder production. Factor analysis allows arranging the factors, which are of different physical quantity and dimensional resolution, in individual groups. Cluster analysis reveals the similarity of the analysed objects within the groups based on the factors' values in the multidimensional space. The performed statistical analysis showed that prediction of the technological process of grass fodder production requires to arrange a number of stochastic factors into groups and to consider them together within the group.