PARAMETERS ESTIMATION OF ONE-DIMENSION AND TWO-DIMENSION DISTRIBUTION OF RANDOM VARIABLES
The article considers a problem of parameters estimating of one-dimensional and two-dimensional distribution of random variables with mathematical modeling program. The article is aimed to find and evaluate these parameters. In the article 1000 uniformly and normally distributed random numbers are generated. The mean value, variance and standard deviation of these implementations were calculated in three different ways. The article provides an estimate of the density function of a random variable from a number of observations. Probability density function plots of uniformly and normally distributed values are constructed with 20 and 200 number of bins. A two-dimensional normal distribution is generated. The mean value and variance are estimated using the sample of cross- and covariance function. A two-dimensional probability density function is calculated and is shown in the form of a 3D graph.