@article{(Open Science Index):https://publications.waset.org/pdf/11030,
	  title     = {Optimization of Parametric Studies Using Strategies of Sampling Techniques},
	  author    = {Lenka Ševelová and  Aleš Florian},
	  country	= {},
	  institution	= {},
	  abstract     = {To improve the efficiency of parametric studies or
tests planning the method is proposed, that takes into account all input parameters, but only a few simulation runs are performed to
assess the relative importance of each input parameter. For K input
parameters with N input values the total number of possible combinations of input values equals NK. To limit the number of runs,
only some (totally N) of possible combinations are taken into account. The sampling procedure Updated Latin Hypercube
Sampling is used to choose the optimal combinations. To measure the
relative importance of each input parameter, the Spearman rank
correlation coefficient is proposed. The sensitivity and the influence
of all parameters are analyzed within one procedure and the key
parameters with the largest influence are immediately identified.},
	    journal   = {International Journal of Civil and Environmental Engineering},
	  volume    = {6},
	  number    = {10},
	  year      = {2012},
	  pages     = {878 - 881},
	  ee        = {https://publications.waset.org/pdf/11030},
	  url   	= {https://publications.waset.org/vol/70},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 70, 2012},
	}