The core of this bachelor thesis is comparison of results produced by given adaptive quadra- ture rule with the Combination Technique and the results computed by non adaptive quadra- ture rules. The function f(x) for which the weighted integral is approximated represents the values of numerical simulation containing uncertain parameters. According to the results the Quasi Monte Carlo quadrature rule has shown the best results and the the adaptive quadrature rule has shown similar values with Gaussian quadrature rule in estimated error decay rate and estimated error values. Der Hauptziel des Bachelorthesises war der Vergleich von Ergebnissen des gegebenen adap- tiven Quadraturregel mit der Combination Technique und von Ergebnisses der nicht adaptiven Verfahren. Die Funktion f(x), von der man das gewichtete Integral approximiert, represen- tiert die Werte von der numerischen Simulation mit unsicheren Parameter. Anhand der Ergebnissen die Quasi Monte Carlo quadratur Regel hat die beste Ergebnisse gezeigt,der adaptive quadratur Regel mit der Combinations Technique hat ähniches Verhalten zum Gaussquadratur in geschätzen Werten und die Fehlerverkleinerungs Rate.     «

The core of this bachelor thesis is comparison of results produced by given adaptive quadra- ture rule with the Combination Technique and the results computed by non adaptive quadra- ture rules. The function f(x) for which the weighted integral is approximated represents the values of numerical simulation containing uncertain parameters. According to the results the Quasi Monte Carlo quadrature rule has shown the best results and the the adaptive quadrature rule has shown similar values wit...     »