On strongly consistent estimates of regression coefficients when the errors are not independently and identically distributed

In this paper, the author proposes two methods of estimation of the regression coefficients when the errors are not distributed identically and independently and have a nonzero mean. The estimates proved in this paper are shown to be strongly consistent and mean square consistent.