The influence functions for the least trimmed squares and the least trimmed absolute deviations estimators
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Cited by:
- Pavel Čížek, 2013.
"Reweighted least trimmed squares: an alternative to one-step estimators,"
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 514-533, September.
- Cizek, P., 2010. "Reweighted Least Trimmed Squares : An Alternative to One-Step Estimators," Discussion Paper 2010-91, Tilburg University, Center for Economic Research.
- Cizek, P., 2010. "Reweighted Least Trimmed Squares : An Alternative to One-Step Estimators," Other publications TiSEM 850c8dcb-835b-4d68-ab98-6, Tilburg University, School of Economics and Management.
- Cizek, P., 2004.
"Asymptotics of Least Trimmed Squares Regression,"
Discussion Paper
2004-72, Tilburg University, Center for Economic Research.
- Cizek, P., 2004. "Asymptotics of Least Trimmed Squares Regression," Other publications TiSEM dab5d551-aca6-40bf-b92e-c, Tilburg University, School of Economics and Management.
- Wang, Yong & Fu, Chengqun & Guo, Jie & Yu, Qin, 2016. "A robust regression based on weighted LSSVM and penalized trimmed squaresAuthor-Name: Liu, Jianyong," Chaos, Solitons & Fractals, Elsevier, vol. 89(C), pages 328-334.
- Olive, David J. & Hawkins, Douglas M., 2003. "Robust regression with high coverage," Statistics & Probability Letters, Elsevier, vol. 63(3), pages 259-266, July.
- Hawkins, Douglas M. & Olive, David, 1999. "Applications and algorithms for least trimmed sum of absolute deviations regression," Computational Statistics & Data Analysis, Elsevier, vol. 32(2), pages 119-134, December.
- Neykov, N.M. & Čížek, P. & Filzmoser, P. & Neytchev, P.N., 2012. "The least trimmed quantile regression," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1757-1770.
- C. Chatzinakos & L. Pitsoulis & G. Zioutas, 2016. "Optimization techniques for robust multivariate location and scatter estimation," Journal of Combinatorial Optimization, Springer, vol. 31(4), pages 1443-1460, May.
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Keywords
Breakdown point gross-error sensitivity influence function least trimmed absolute deviations least trimmed squares local-shift sensitivity rejection point robust;Statistics
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