caa a22 4500 605521778 CHVBK 20210128100742.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s10958-015-2226-7 doi (NATIONALLICENCE)springer-10.1007/s10958-015-2226-7 Representativeness of a Sample in Monte Carlo Method* [Elektronische Daten] [H. Bevrani, I. Shevtsova] The Monte Carlo method is a quite popular method of solving mathematical problems. The theoretical basis of this method is the law of large numbers and the central limit theorem. When using this method a question often arises, whether available statistical data are enough for accurate and reliable conclusions, in other words, whether the available sample is representative. The goal of this paper is to obtain and compare various estimates of the required sample size in the Monte Carlo method. Springer Science+Business Media New York, 2015 Bevrani H. University of Tabriz, Tabriz, Iran aut Shevtsova I. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, Moscow, Russia aut Journal of Mathematical Sciences Springer US; http://www.springer-ny.com 205/1(2015-02-01), 27-33 1072-3374 205:1<27 2015 205 10958 https://doi.org/10.1007/s10958-015-2226-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10958-015-2226-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bevrani H. University of Tabriz, Tabriz, Iran aut NATIONALLICENCE 700 1- Shevtsova I. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, Moscow, Russia aut NATIONALLICENCE 773 0- Journal of Mathematical Sciences Springer US; http://www.springer-ny.com 205/1(2015-02-01), 27-33 1072-3374 205:1<27 2015 205 10958