Haupt, Harry and Oberhofer, Walter (2009) On asymptotic normality in nonlinear regression. STATISTICS & PROBABILITY LETTERS, 79 (6). pp. 848-849. ISSN 0167-7152,
Full text not available from this repository. (Request a copy)Abstract
In this paper we reconsider the results in Wang [Wang, J., 1995. Asymptotic normality of L(1)-estimators in nonlinear regression. J. Multivariate Anal. 54, 227-238; Wang, J., 1996. Asymptotics of least-squares estimators for constrained nonlinear regression. Ann. Statist. 4, 1316-1326], who studies the conditions for asymptotic normality of L(1)- and (constrained) L(2)-norm regression estimators in the nonlinear regression model. Unfortunately, Wang fails to state necessary global conditions. (c) 2008 Elsevier B.V. All rights reserved.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | LEAST-SQUARES ESTIMATOR; CONSISTENCY; ERRORS; |
| Subjects: | 300 Social sciences > 330 Economics |
| Divisions: | Business, Economics and Information Systems > Institut für Volkswirtschaftslehre und Ökonometrie > Entpflichtete oder im Ruhestand befindliche Professoren > Prof. em. Dr. Walter Oberhofer |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 21 Sep 2020 08:12 |
| Last Modified: | 21 Sep 2020 08:12 |
| URI: | https://pred.uni-regensburg.de/id/eprint/29276 |
Actions (login required)
 |
View Item |
