probability moment
21Hausdorff moment problem — In mathematics, the Hausdorff moment problem, named after Felix Hausdorff, asks for necessary and sufficient conditions that a given sequence { mn : n = 0, 1, 2, ... } be the sequence of moments of… …
22Standardized moment — In probability theory and statistics, the k thstandardized moment of a probability distribution is frac{mu k}{sigma^k}! where mu k is the k th moment about the mean and sigma; is the standard deviation.It is the normalization of the k th moment… …
23Convolution of probability distributions — The convolution of probability distributions arises in probability theory and statistics as the operation in terms of probability distributions that corresponds to the addition of independent random variables and, by extension, to forming linear… …
24Stieltjes moment problem — In mathematics, the Stieltjes moment problem, named after Thomas Joannes Stieltjes, seeks necessary and sufficient conditions that a sequence { mu; n , : n = 0, 1, 2, ... } be of the form:mu n=int 0^infty x^n,dF(x),for some nondecreasing function …
25Maximum entropy probability distribution — In statistics and information theory, a maximum entropy probability distribution is a probability distribution whose entropy is at least as great as that of all other members of a specified class of distributions. According to the principle of… …
26Infinite divisibility (probability) — In probability theory, to say that a probability distribution F on the real line is infinitely divisible means that if X is any random variable whose distribution is F , then for every positive integer n there exist n independent identically… …
27Method of moments (probability theory) — This article is about the method of moments in probability theory. See method of moments for other techniques bearing the same name. In probability theory, the method of moments is a way of proving convergence in distribution by proving… …
28Image moment — In image processing, computer vision and related fields, an image moment is a certain particular weighted average (moment) of the image pixels intensities, or a function of such moments, usually chosen to have some attractive property or… …
29Statistisches Moment — Momente sind Kenngrößen von Zufallsvariablen. Sie sind Parameter der deskriptiven Statistik und spielen eine theoretische Rolle in der Stochastik. Die Begriffe Erwartungswert, Varianz, Schiefe und Wölbung zur Beschreibung einer Zufallsvariablen… …
30Zentrales Moment — Momente sind Kenngrößen von Zufallsvariablen. Sie sind Parameter der deskriptiven Statistik und spielen eine theoretische Rolle in der Stochastik. Die Begriffe Erwartungswert, Varianz, Schiefe und Wölbung zur Beschreibung einer Zufallsvariablen… …
