Weighted least squares estimators in possibly misspecified nonlinear regression

Author:

Müller Ursula U.

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference21 articles.

1. Aguirre–Torres V, Domínguez MA (2004) Efficient method of moments in misspecified i.i.d. models. Econom Theory 20:513–534

2. Andrews DWK, Pollard D (1994) An introduction to functional central limit theorems for dependent stochastic processes. Int Stat Rev 62:119–132

3. Bickel PJ, Klaassen CAJ, Ritov Y, Wellner JA (1998) Efficient and adaptive estimation for semiparametric models. Springer, Berlin Heidelberg New York

4. Gould A, Lawless JF (1988) Consistency and efficiency of regression coefficient estimates in location-scale models. Biometrika 75:535–540

5. Greenwood PE, Wefelmeyer W (1997) Maximum likelihood estimator and Kullback–Leibler information in misspecified Markov chain models. Teor. Veroyatnost. i Primenen. 42:169–178

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