Convergence theorems form the backbone of probability theory and statistical inference, ensuring that sequences of random variables behave in a predictable manner as their index grows. These theorems, ...

In this paper, the complete convergence and complete 𝑓-moment convergence for arrays of rowwise 𝑚-negatively associated (𝑚-NA, for short) random variables are studied, which generalize and improve ...

The Annals of Mathematical Statistics, Vol. 41, No. 2 (Apr., 1970), pp. 710-712 (3 pages) A limit theorem for random sums of independent random elements of D[ 0, 1] is proved. The theorem extends and ...

CATALOG DESCRIPTION: Fundamentals of random variables; mean-squared estimation; limit theorems and convergence; definition of random processes; autocorrelation and stationarity; Gaussian and Poisson ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...