Cumulant — In probability theory and statistics, the cumulants κn of a probability distribution are a set of quantities that provide an alternative to the moments of the distribution. The moments determine the cumulants in the sense that any two probability … Wikipedia
cumulant — ˈkyümyələnt, ÷ mə noun ( s) Etymology: Latin cumulant , cumulans, present participle of cumulare to heap up : any of the statistical coefficients that arise in the series expansion in powers of x of the logarithm of the moment generating function … Useful english dictionary
cumulant — noun Any of a set of parameters of a one dimensional probability distribution of a certain form Syn: semi invariant … Wiktionary
cumulant — cu·mu·lant … English syllables
Multiset — This article is about the mathematical concept. For the computer science data structure, see Set (computer science)#Multiset. In mathematics, the notion of multiset (or bag) is a generalization of the notion of set in which members are allowed to … Wikipedia
Natural exponential family — In probability and statistics, the natural exponential family (NEF) is a class of probability distributions that is a special case of an exponential family (EF). Many common distributions are members of a natural exponential family, and the use… … Wikipedia
Cumulants (statistiques) — Dans la théorie des probabilités et en statistiques, une variable aléatoire X a une espérance mathématique μ = E(X) et une variance σ2 = E((X − μ)2). Ce sont les deux premiers cumulants : μ = κ1 et σ2 = κ2. Les cumulants κn sont définis par… … Wikipédia en Français
Skewness — Example of experimental data with non zero (positive) skewness (gravitropic response of wheat coleoptiles, 1,790) In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real valued random … Wikipedia
Law of total cumulance — In probability theory and mathematical statistics, the law of total cumulance is a generalization to cumulants of the law of total probability, the law of total expectation, and the law of total variance. It has applications in the analysis of… … Wikipedia
Dynamic light scattering — Hypothetical Dynamic light scattering of two samples: Larger particles on the top and smaller particle on the bottom Dynamic light scattering (also known as photon correlation spectroscopy or quasi elastic light scattering) is a technique in… … Wikipedia
Central moment — In probability theory and statistics, central moments form one set of values by which the properties of a probability distribution can be usefully characterised. Central moments are used in preference to ordinary moments because then the values… … Wikipedia
