E. L. Zhukovskii Computational Mathematics and Mathematical Physics , Vol.38 No.5 , 01.1998 , language: английский ISSN 0965-5425  Аннотация Minimum distance estimators in regression and orthogonal projection estimators in conditional linear algebra are known to be useful for solving processing problems in multidimensional statistical analysis. A relationship between these estimators and regularized solutions of stochastic linear equations and a posteriori analogues of these equations is established.  Ключевые слова orthogonal projection method, regularization, stochastic linear equations, statistical analysis

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