Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-05-73-76
DOI: https://dx.doi.org/10.15863/TAS.2019.05.73.76
Language: Russian
Citation: Zhanatauov, S. U., & Agaev, A. (2019). A giving realism to the property values of the cereal crops in the model ?-sample. ISJ Theoretical & Applied Science, 05 (73), 501-509. Soi: http://s-o-i.org/1.1/TAS-05-73-76 Doi: https://dx.doi.org/10.15863/TAS.2019.05.73.76 |
Pages: 501-509
Published: 30.05.2019
Abstract: 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.
Key words: parameters, variables for the matrix of real measured data, realistic numbers from the ? sample.
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