Representativeness of a Sample in Monte Carlo Method*
Gespeichert in:
Verfasser / Beitragende:
[H. Bevrani, I. Shevtsova]
Ort, Verlag, Jahr:
2015
Enthalten in:
Journal of Mathematical Sciences, 205/1(2015-02-01), 27-33
Format:
Artikel (online)
Online Zugang:
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| 245 | 0 | 0 | |a Representativeness of a Sample in Monte Carlo Method* |h [Elektronische Daten] |c [H. Bevrani, I. Shevtsova] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer Science+Business Media New York, 2015 | ||
| 700 | 1 | |a Bevrani |D H. |u University of Tabriz, Tabriz, Iran |4 aut | |
| 700 | 1 | |a Shevtsova |D I. |u Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, Moscow, Russia |4 aut | |
| 773 | 0 | |t Journal of Mathematical Sciences |d Springer US; http://www.springer-ny.com |g 205/1(2015-02-01), 27-33 |x 1072-3374 |q 205:1<27 |1 2015 |2 205 |o 10958 | |
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| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s10958-015-2226-7 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Bevrani |D H. |u University of Tabriz, Tabriz, Iran |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Shevtsova |D I. |u Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, Moscow, Russia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Journal of Mathematical Sciences |d Springer US; http://www.springer-ny.com |g 205/1(2015-02-01), 27-33 |x 1072-3374 |q 205:1<27 |1 2015 |2 205 |o 10958 | ||