A random variable numerically summarizes the possible outcomes of a random experiment. Formally, a random variable assigns numerical values to the outcomes of a random phenomenon. This lab introduces ...
code > span.do { color: #ba2121; font-style: italic; } /* Documentation */ code > span.an { color: #60a0b0; font-weight: bold; font-style: italic; } /* Annotation ...
The ratio R of two random quantities is frequently encountered in probability and statistics. But while for unidimensional statistical variables the distribution of R can be computed relatively easily ...
Let $X_{1},X_{2},\ldots ,X_{n}$ be independent random variables. Given the moments $EX_{j}^{s}$ (s = 1, 2,...,m), (j = 1, 2,...,n), the joint distribution function of ...
Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 25, No. 1 (Jul., 1963), pp. 13-24 (12 pages) The sum of n independent and identically distributed random variables will, under ...
Stop-loss and limited loss random variables are two important transforms of a loss random variable and appear in many modeling problems in insurance, finance, and other fields. Risk levels of a loss ...
ABSTRACT: In this paper, we study some robustness aspects of linear regression models of the presence of outliers or discordant observations considering the use of stable distributions for the ...