Gauss-Newton, Milliken-Graybill, and Exact Misspecification Testing Using Artificial Regressions
The Gauss-Newton regression (GNR) is widely used to compute Lagrange multiplier statistics. A regression described by Milliken and Graybill yields an exact F test in a certain class of nonlinear models which are linear under the null. This paper shows that the Milliken- Graybill regression is a GNR. Hence one interpretation of Milliken- Graybill is that they identi ed a class of nonlinear models for which the GNR yields an exact test.
|Date of creation:||30 Nov 1998|
|Date of revision:|
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