The paper is concerned with issues of the estimation of random variable distribution parameters by the Monte Carlo method. Such quantities can correspond to statistical parameters computed based on the data obtained in typical measurement situations. The subject of the research is the mean, the mean square and the variance of random variables with uniform, Gaussian, Student, Simpson, trapezoidal, exponential, gamma and arcsine distributions.

JO - Metrology and Measurement Systems L1 - http://journals.pan.pl/Content/90121/PDF/Journal10178-VolumeXX+Issue2_09.pdf L2 - http://journals.pan.pl/Content/90121 IS - No 2 EP - 262 KW - Monte Carlo method KW - mean KW - mean square KW - variance ER - A1 - Sienkowski, Sergiusz PB - Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation JF - Metrology and Measurement Systems SP - 249 T1 - Estimation of Random Variable Distribution Parameters by the Monte Carlo Method UR - http://journals.pan.pl/dlibra/docmetadata?id=90121 DOI - 10.2478/mms-2013-0022