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A GIVING REALISM TO THE PROPERTY VALUES OF THE CEREAL CROPS IN THE MODEL ?-SAMPLE.
Authors: S. U. Zhanatauov ; A. Agaev

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The article describes the application of the IM PCA: (C66,?66)=>(R6,6,U(t)20,6,Y(t)20,6=U(?t)20,6?1/266, I6,6=Z(t)20,6=Y(t)20,6CТ6,6),t=1,…,kt. The sample U20,6 of u-variables has a correlation matrix (1/20)U(t)Т20,6U(t)20,6= diag(1,…,1), the sample of y-variables Y20,6=U20,6?1/266: covariance matrix ?nn=diag(?1,?2,…,?6), the sample of z-variables Z(t)20,6=Y(t)20,6CТ6,6=U(t)20,6?1/266: the correlation matrix is (1/20)Z(t)Т20,6Z(t)20,6 =R6,6. The matrix C66 is known, the matrix ?66-restored, the matrix R6,6 is unknown. Mathematical problems are solved: optimization, inverse spectral; multidimensional statistical problems - Inverse Problem of Principal Component Analysis. Result - Table 4 demonstrates the realism of the values of 6 property values of grain crops.