A theorem on uniform convergence of stochastic functions with applications
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Publication:1365552
DOI10.1006/jmva.1997.1674zbMath0879.62020OpenAlexW1984118738MaRDI QIDQ1365552
Publication date: 4 September 1997
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1006/jmva.1997.1674
Asymptotic properties of parametric estimators (62F12) Linear inference, regression (62J99) Robustness and adaptive procedures (parametric inference) (62F35)
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Cites Work
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- The strong consistency of M-estimators in linear models
- Asymptotic behavior of M-estimators of p regression parameters when \(p^ 2/n\) is large. I. Consistency
- Asymptotic theory of nonlinear least squares estimation
- Asymptotic behavior of M-estimators for the linear model
- Asymptotic Properties of Non-Linear Least Squares Estimators
- Asymptotic Properties of Maximum Likelihood Estimators for the Independent Not Identically Distributed Case
- A Note on Uniform Convergence of Stochastic Processes