Topics include counting techniques, discrete and continuous univariate and multivariate random variables & common distributions, probability, expectation, variance, confidence intervals, the Central ...

This study develops a multivariate, nonnormal density function that can accurately and separately account for skewness, kurtosis, heteroskedasticity, and the correlation among the random variables of ...

Albert Madansky, Bounds on the Expectation of a Convex Function of a Multivariate Random Variable, The Annals of Mathematical Statistics, Vol. 30, No. 3 (Sep., 1959), pp. 743-746 ...

The course provides a precise and accurate treatment of introductory probability and distribution theory. Topics covered are data visualisation and descriptive statistics, probability theory, random ...

Topics covered are data visualisation and descriptive statistics, probability theory, random variables, common distributions of random variables, multivariate random variables, sampling distributions ...