Regularized calculation of estimates with singular dispersion matrices and constraints

Regularized factorization methods lead to numerically stable estimation algorithms for ill-posed problems with a variance matrix and constraints. New results on the perturbation stability of these algorithm are proved and the ranges of regularization parameters which ensure this stability are determined.