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Asymptotics of least-squares estimators for constrained nonlinear regression. (English) Zbl 0862.62057

Summary: This paper is devoted to studying the asymptotic behavior of \(LS\)-estimators in constrained nonlinear regression problems. Here the constraints are given by nonlinear equalities and inequalities. Thus this is a very general setting. Essentially this kind of estimation problems is a stochastic optimization problem. So we make use of methods in optimization to overcome the difficulty caused by nonlinearity in the regression model and given constraints.

MSC:

62J02 General nonlinear regression
62F12 Asymptotic properties of parametric estimators
90C15 Stochastic programming
Full Text: DOI

References:

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