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1 Azzalini, A. and Capitanio, A. (2014). The Skew-Normal and Related Families, Cambridge University Press, Cambridge./ View Article
2 Sharma, P. And Singh, R. (2014). Generalized class of estimators for population median using auxiliary information, Hec. Journal of Math and Stat., In press./ View Article
3 Everaert, G. and Pozzi, L. (2014). The predictability of aggregate consumption growth in OECD countries: A panel data analysis, Journal of Applied Econometrics, 29, 431-453./   DOI   Ndsl View Article
4 Benzekry, S., Lamont, C., Beheshti, A., Tracz, A., Ebos, J. M. L., Hlatky, L. and Hahnfeldt P. (2014). Classical mathematical models for description and prediction of experimental tumor growth, arXiv preprint, arXiv, 1406-1446, http://arxiv.org./   DOI View Article
5 Kim, N. (2014). Approximate MLE for the scale parameter of the generalized exponential distribution under random censoring, Journal of the Korean Statistical Society, 43, 119-131./   KOI   DOI   Ndsl View Article
6 Sultan, K. S., Alsada, N. H. and Kundu, D. (2014). Bayesian and maximum likelihood estimation of the inverse Weibull parameters under progressive type-II censoring, Journal of Statistical Computation and Simulation, 84, 2248-265./   DOI View Article
7 Lee, Y., Jang, H., Rhee, J. A. and Park, J. S. (2014). Statistical estimations for Plasmodium vivax malaria in South Korea, Asia Pacific Journal of Tropical Medicine, in press./ View Article
8 R-CRAN (2014). R program, Available from: http://www.r-project.org/ View Article
9 Nesterov, Y. and Nemirovski, A. (2014). Finding the stationary states of Markov chains by iterative methods, Applied Mathematics and Computation, Available from: http:/www.sciencedirect.com/science/article/pii/s0096300314005931, In press./ View Article
10 Mosayeb, A. and Borzadaran, M. G. R. (2013). Kullback-Leibler information in view of an extended version of k-records, Communications for Statistical Applications and Methods, 20, 1-13./   DOI View Article