This book presents the authorbs new method of two-stage
maximization of likelihood function, which helps to solve a series
of non-solving before the well-posed and ill-posed problems of
pseudosolution computing systems of linear algebraic equations (or,
in statistical terminology, parametersb estimators of functional
relationships) and linear integral equations in the presence of
deterministic and random errors in the initial data. This book, for
the first time, presents a solution of the problem of reciprocal
influence of passive errors of regressors and of active errors of
predictors by computing point estimators of functional
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