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December, 1986 Consistent Estimators in Nonlinear Regression for a Noncompact Parameter Space
G. D. Richardson, B. B. Bhattacharyya
Ann. Statist. 14(4): 1591-1596 (December, 1986). DOI: 10.1214/aos/1176350179

Abstract

Sufficient conditions are given in order to ensure the existence of a sequence of strongly consistent estimators of unknown parameters in a nonlinear regression model. The primary difference between this and earlier work is in the generality of the parameter space. Indeed, the parameter space is assumed to be any separable, completely regular topological space; in particular, this includes all separable metric spaces.

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G. D. Richardson. B. B. Bhattacharyya. "Consistent Estimators in Nonlinear Regression for a Noncompact Parameter Space." Ann. Statist. 14 (4) 1591 - 1596, December, 1986. https://doi.org/10.1214/aos/1176350179

Information

Published: December, 1986
First available in Project Euclid: 12 April 2007

zbMATH: 0625.62045
MathSciNet: MR868321
Digital Object Identifier: 10.1214/aos/1176350179

Subjects:
Primary: 62J02
Secondary: 62F12

Rights: Copyright © 1986 Institute of Mathematical Statistics

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Vol.14 • No. 4 • December, 1986
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