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Asymptotic Normality of L1-Estimators in Nonlinear Regression

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  • Wang, J. D.

Abstract

In this paper we show the asymptotic normality of L1-estimators for nonlinear regression models.

Suggested Citation

  • Wang, J. D., 1995. "Asymptotic Normality of L1-Estimators in Nonlinear Regression," Journal of Multivariate Analysis, Elsevier, vol. 54(2), pages 227-238, August.
    • Handle: RePEc:eee:jmvana:v:54:y:1995:i:2:p:227-238
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    Cited by:

    1. Haupt, Harry & Oberhofer, Walter, 2009. "On asymptotic normality in nonlinear regression," Statistics & Probability Letters, Elsevier, vol. 79(6), pages 848-849, March.
    2. Xiaofei Wu & Rongmei Liang & Hu Yang, 2022. "Penalized and constrained LAD estimation in fixed and high dimension," Statistical Papers, Springer, vol. 63(1), pages 53-95, February.
    3. Sun, Rui-Bo & Wei, Bo-Cheng, 2004. "On influence assessment for LAD regression," Statistics & Probability Letters, Elsevier, vol. 67(2), pages 97-110, April.
    4. Rongrong Xu & Jinde Wang, 2008. "-estimation for spatial nonparametric regression," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 20(6), pages 523-537.
    5. Chen Xi & Wang Lihong, 2013. "Conditional L1 estimation for random coefficient integer-valued autoregressive processes," Statistics & Risk Modeling, De Gruyter, vol. 30(3), pages 221-235, August.

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