Modeling dropouts by conditional distribution, a copula-based approach E Käärik, M Käärik Journal of Statistical Planning and Inference 139 (11), 3830-3835, 2009 | 28 | 2009 |
On adjusted Viterbi training A Koloydenko, M Käärik, J Lember Acta Applicandae Mathematicae 96 (1-3), 309-326, 2007 | 21 | 2007 |
Characterization and prediction of double-layer capacitance of nanoporous carbon materials using the Quantitative nano-Structure-Property Relationship approach based on … M Käärik, M Arulepp, M Käärik, U Maran, J Leis Carbon 158, 494-504, 2020 | 15 | 2020 |
The use of copulas to model conditional expectation for multivariate data M Käärik, A Selart, E Käärik, J Liivi ISI Proc. 58th World Statistical Congress, 5533-5538, 2011 | 12 | 2011 |
On claim size fitting and rough estimation of risk premiums based on Estonian traffic insurance example M Käärik, M Umbleja International Journal of Mathematical Models and Methods in Applied Sciences …, 2011 | 12 | 2011 |
On comparison of stochastic reserving methods with bootstrapping L Tee, M Käärik, R Viin Risks 5 (1), 2, 2017 | 10 | 2017 |
Fitting sets to probability distributions M Käärik Tartu University Press, 2005 | 10 | 2005 |
On parametrization of multivariate skew-normal distribution M Käärik, A Selart, E Käärik Communications in Statistics-Theory and Methods 44 (9), 1869-1885, 2015 | 9 | 2015 |
On estimation of loss distributions and risk measures M Käärik, A Žegulova Acta et Commentationes Universitatis Tartuensis de Mathematica 16 (1), 53-67, 2012 | 8 | 2012 |
Multivariate Skew t-Distribution: Asymptotics for Parameter Estimators and Extension to Skew t-Copula T Kollo, M Käärik, A Selart Symmetry 13 (6), 1059, 2021 | 7 | 2021 |
Approximation of distributions by sphere M Käärik Multivariate Statistics. New Trends in Probability and Statistics 5, 61-66, 2000 | 7 | 2000 |
The 1st year of the COVID-19 epidemic in Estonia: a population-based nationwide sequential/consecutive cross-sectional study A Uusküla, R Kalda, M Solvak, M Jürisson, M Käärik, K Fischer, A Keis, ... Public Health 205, 150-156, 2022 | 6 | 2022 |
Imputation by Gaussian copula model with an application to incomplete customer satisfaction data M Käärik, E Käärik Proceedings of COMPSTAT'2010: 19th International Conference on Computational …, 2010 | 6 | 2010 |
Non-Life Insurance Mathematics M Käärik Tartu: University of Tartu. Tersedia dalam DSpace Universitas Tartuensis, 2013 | 5 | 2013 |
Fitting parametric sets to probability distributions M Käärik, K Pärna Acta et Commentationes Universitatis Tartuensis de Mathematica 8, 101-112, 2004 | 5 | 2004 |
Asymptotic normality of estimators for parameters of a multivariate skew-normal distribution T Kollo, M Käärik, A Selart Communications in Statistics-Theory and Methods 47 (15), 3640-3655, 2018 | 4 | 2018 |
On the correlation structures of multivariate skew-normal distribution E Käärik, M Käärik, IH Maadik Acta et Commentationes Universitatis Tartuensis de Mathematica 20 (1), 83-100, 2016 | 4 | 2016 |
Statistical inference with the limited expected value function M Käärik, H KADARIK Multivariate Statistics: Theory and Applications, 99-111, 2013 | 4 | 2013 |
Estimation of claim size distributions in Estonian traffic insurance M Käärik, M Umbleja Proceedings of the 2010 international conference on Applied computing …, 2010 | 4 | 2010 |
On the quality of k-means clustering based on grouped data M Käärik, K Pärna Journal of statistical planning and inference 139 (11), 3836-3841, 2009 | 4 | 2009 |