Bibliography

(eng): For the least weighted squares we show that normal equations may be asymptotically approximated by a form which is linear in regression parameters. The proof employs Skorohod embedding into Wiener process. The asymptotic linearity of the normal equations allows (it is done in the part II) to derive asymptotic representation of the estimator and its asymptotic normality.