regression constant
101Moment (mathematics) — Second moment redirects here. For the technique in probability theory, see Second moment method. See also: Moment (physics) Increasing each of the first four moments in turn while keeping the others constant, for a discrete uniform distribution… …
102Moving average — For other uses, see Moving average (disambiguation). In statistics, a moving average, also called rolling average, rolling mean or running average, is a type of finite impulse response filter used to analyze a set of data points by creating a… …
103Coefficient of variation — In probability theory and statistics, the coefficient of variation (CV) is a normalized measure of dispersion of a probability distribution. It is also known as unitized risk or the variation coefficient. The absolute value of the CV is sometimes …
104List of mathematics articles (M) — NOTOC M M estimator M group M matrix M separation M set M. C. Escher s legacy M. Riesz extension theorem M/M/1 model Maass wave form Mac Lane s planarity criterion Macaulay brackets Macbeath surface MacCormack method Macdonald polynomial Machin… …
105Wold's theorem — This article is about the theorem as used in time series analysis. For an abstract mathematical statement, see Wold decomposition. In statistics, Wold s decomposition or the Wold representation theorem (not to be confused with the Wold theorem… …
106Median absolute deviation — In statistics, the median absolute deviation (MAD) is a robust measure of the variability of a univariate sample of quantitative data. It can also refer to the population parameter that is estimated by the MAD calculated from a sample. For a… …
107Non-reg — Non régression Pour les articles homonymes, voir Régression. La non régression concerne un type de tests effectués sur les logiciels. Sommaire 1 Définition 2 Difficulté …
108Mann–Whitney U — In statistics, the Mann–Whitney U test (also called the Mann–Whitney–Wilcoxon (MWW) or Wilcoxon rank sum test) is a non parametric statistical hypothesis test for assessing whether one of two samples of independent observations tends to have… …
109Maximum a posteriori estimation — In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to… …
110Kaplan–Meier estimator — The Kaplan–Meier estimator,[1][2] also known as the product limit estimator, is an estimator for estimating the survival function from life time data. In medical research, it is often used to measure the fraction of patients living for a certain… …
