Robust fitting of mixtures using the trimmed likelihood estimator N Neykov, P Filzmoser, R Dimova, P Neytchev Computational Statistics & Data Analysis 52 (1), 299-308, 2007 | 219 | 2007 |
Breakdown points of trimmed likelihood estimators and related estimators in generalized linear models CH Müller, N Neykov Journal of Statistical Planning and inference 116 (2), 503-519, 2003 | 96 | 2003 |
About regression estimators with high breakdown point DL Vandev, NM Neykov* Statistics: A Journal of Theoretical and Applied Statistics 32 (2), 111-129, 1998 | 89 | 1998 |
Breakdown point and computation of trimmed likelihood estimators in generalized linear models NM Neykov, CH Müller Developments in Robust Statistics: International Conference on Robust …, 2003 | 73 | 2003 |
A robust alternative of the maximum likelihood estimator N Neykov, P Neytchev Compstat 1990, 99-100, 1990 | 62 | 1990 |
Robust maximum likelihood in the Gaussian case DL Vandev, NM Neykov New directions in data analysis and robustness, 259-264, 1993 | 52 | 1993 |
Regional frequency analysis of extreme wave heights: Trading space for time P Van Gelder, J De Ronde, NM Neykov, P Neytchev Proc. of the 27th International Conference on Coastal Engineering 2000 2 …, 2001 | 47* | 2001 |
Robust joint modeling of mean and dispersion through trimming NM Neykov, P Filzmoser, PN Neytchev Computational statistics & data analysis 56 (1), 34-48, 2012 | 30 | 2012 |
Regional frequency analysis of extreme water levels along the Dutch coast using L-moments: A preliminary study P Van Gelder, NM Neykov Stochastic models of hydrological processes and their applications to …, 1998 | 27 | 1998 |
Ultrahigh dimensional variable selection through the penalized maximum trimmed likelihood estimator NM Neykov, P Filzmoser, PN Neytchev Statistical Papers 55 (1), 187-207, 2014 | 24 | 2014 |
Stochastic daily precipitation model with a heavy-tailed component NM Neykov, PN Neytchev, W Zucchini Natural Hazards and Earth System Sciences 14 (9), 2321-2335, 2014 | 22 | 2014 |
Robust two-group discrimination by bounded influence regression. A Monte Carlo simulation V Todorov, N Neykov, P Neytchev Computational Statistics & Data Analysis 17 (3), 289-302, 1994 | 22 | 1994 |
Robust detection of discordant sites in regional frequency analysis NM Neykov, PN Neytchev, P Van Gelder, VK Todorov Water resources research 43 (6), 2007 | 21 | 2007 |
Generalized d-fullness Technique for Breakdown Point Study of the Trimmed Likelihood Estimator with Application RB Dimova, NM Neykov Theory and applications of recent robust methods, 83-91, 2004 | 21 | 2004 |
Robust selection of variables in the discriminant analysis based on MVE and MCD estimators VK Todorov, NM Neykov, PN Neytchev Compstat: Proceedings in Computational Statistics, 9th Symposium held at …, 1990 | 21 | 1990 |
The least trimmed quantile regression NM Neykov, P Čížek, P Filzmoser, PN Neytchev Computational Statistics & Data Analysis 56 (6), 1757-1770, 2012 | 20 | 2012 |
Mixture of GLMs and the trimmed likelihood methodology N Neykov, P Filzmoser, R Dimova, P Neytchev J. Antoch (ed.), 1585-1592, 2004 | 17 | 2004 |
On the Finite Sample Breakdown Point of the WLTE (k) and d-fullness of a Set of Continuous Functions DV Atanasov, NM Neykov Proceedings of the VI International Conference” Computer Data Analysis And …, 2002 | 13 | 2002 |
About the Finite Sample Breakdown Point of the WLTE (k) Estimators DV Atanasov, NM Neykov Proceedings of the XXV Summer School Sozopol 99, 105-106, 2000 | 12 | 2000 |
Ultrasonically Assisted Extraction of Total Phenols and Flavonoids from Rhodiola Rosea J Staneva, M Todorova, N Neykov, L Evstatieva Natural Product Communications 4 (7), 1934578X0900400712, 2009 | 11 | 2009 |