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Biometrika 1974 61(1):49-56; doi:10.1093/biomet/61.1.49
© 1974 by Biometrika Trust
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Regression problems with controllable variables subject to error

V. V. FEDOROV

Laboratory of Statistical Methods, Moscow State University

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.

Key Words: Functional relation • Iterative estimation • Nonlinear least squares • Nonlinear model


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