The Asymptotics of MM-Estimators for Linear Regression with Fixed Designs
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DOI: 10.1007/s00184-005-0019-6
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Cited by:
- Kleijnen, J.P.C., 2007.
"Simulation Experiments in Practice : Statistical Design and Regression Analysis,"
Discussion Paper
2007-09, Tilburg University, Center for Economic Research.
- Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Discussion Paper 2007-30, Tilburg University, Center for Economic Research.
- Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Other publications TiSEM 66449de2-3d9c-4d19-a3e4-a, Tilburg University, School of Economics and Management.
- Kleijnen, J.P.C., 2007. "Simulation Experiments in Practice : Statistical Design and Regression Analysis," Other publications TiSEM d4bee6b0-7a00-4695-85ed-6, Tilburg University, School of Economics and Management.
- Haolun Shi & Jiguo Cao, 2022. "Robust Functional Principal Component Analysis Based on a New Regression Framework," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(3), pages 523-543, September.
- Camponovo, Lorenzo & Scaillet, Olivier & Trojani, Fabio, 2012.
"Robust subsampling,"
Journal of Econometrics, Elsevier, vol. 167(1), pages 197-210.
- Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2006. "Robust Subsampling," Swiss Finance Institute Research Paper Series 06-33, Swiss Finance Institute.
- Marek Omelka & Matías Salibián-Barrera, 2010. "Uniform asymptotics for S- and MM-regression estimators," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(5), pages 897-927, October.
- Salibian-Barrera, Matias, 2006. "Bootstrapping MM-estimators for linear regression with fixed designs," Statistics & Probability Letters, Elsevier, vol. 76(12), pages 1287-1297, July.
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Keywords
MM-estimators; Fixed designs; Consistency; Asymptotic distribution;All these keywords.
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