Abstract
Asymptotic expansions are derived for the least-squares variance estimator of the normal observation error in nonlinear regression and for its distribution function. The first three terms of the asymptotic expansion are given. The third expansion term is interpreted geometrically as the invariant of some surface in Rn.
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