Our research is focused on the analysis of special classes of probability distributions. New statistical methods for distributions from these classes are suggested and theoretically characterized, namely, parameter estimations, goodness of fit tests, and parametric and non-parametric statistical inference. This statistical apparatus is then applied to specific problems in metrology, insurance and financial mathematics, linguistics and demography. As a part of the project, computational methods and algorithms are constructed for these statistical procedures.
Minárik, P., Mináriková, D., Szűcs, G., Golian, J.: Public awareness of food and other lifestyle-related factors towards cancer development among adults in Slovakia: a pilot study. Journal of Food and Nutrition Research, Vol. 55, No. 4, 2016, s. 342-351, ISSN 1336-8672.
Szűcs, G.: Parameter estimation methods for recurrent classes of discrete probability distributions. Forum Statisticum Slovacum, Vol. 11, No. 6, 2015, p. 154-159, ISSN 1336-7420.
Radojičić, M., Lazić, B., Kaplar, S., Stanković, R., Obradović, I., Mačutek, J., Leššová, L.: Frequency and length of syllables in Serbian. Glottometrics, No. 45, 2019, p. 114-123, ISSN 1617-8351.
Tóth, R., Somorčík, J.: On a non-parametric confidence interval for the regression slope. METRON - International Journal of Statistics, Vol. 75, No. 3, Spec. Iss., 2017, p. 359-369, ISSN 0026-1424.