Asymptotic theory of least squares estimator of a particular nonlinear regression model
Debasis Kundu
Statistics & Probability Letters, 1993, vol. 18, issue 1, 13-17
Abstract:
The consistency and asymptotic normality of the least squares estimator are derived for a particular non-linear regression model, which does not satisfy the standard sufficient conditions of Jennrich (1969) or Wu (1981), under the assumption of normal errors.
Keywords: Consistency; least; squares; estimator; non-linear; regression (search for similar items in EconPapers)
Date: 1993
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:18:y:1993:i:1:p:13-17
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