Regression Problems with Controllable Variables Subject to Error
Vladimir V. Fedorov · Biometrika · 1974
The problem is studied of estimating parameters when controllable variables are subject to errors. Strongly consistent estimators with an asymptotically normal distribution are proposed and an iterative procedure for their calculation is suggested. A numerical example is given in illustration.