Nature

Convergence Theorems for Random Variables

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, ...
Nature

Fuzzy Statistics and Random Variables

Fuzzy statistics and random variables represent a progressive fusion of traditional probability theory with the principles of fuzzy logic, enabling the treatment of imprecision and vagueness inherent ...
mccormick.northwestern.edu

ELEC_ENG 422: Random Processes in Communications and Control I

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

Polynomial Approximation for a Class of Physical Random Variables

This is a preview. Log in through your library . Abstract In white noise theory on Hilbert spaces, it is known that maps which are uniformly continuous around the origin in the S-topology constitute ...
JSTOR Daily

A Central Limit Theorem for $m$-Dependent Random Variables with Unbounded $m$

This is a preview. Log in through your library . Abstract For each $k = 1, 2, \cdots$ let $n = n(k)$, let $m = m(k)$, and suppose $y_1^k, \cdots, y_n^k$ is an $m ...
Investopedia

Random Factor Analysis: What It Is, How It Works, Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Nasdaq

Discrete random variable

A random variable that can take only a certain specified set of individual possible values-for example, the positive integers 1, 2, 3, . . . For example, stock prices are discrete random variables, ...