regression constant
71Least absolute deviations — (LAD), also known as Least Absolute Errors (LAE), Least Absolute Value (LAV), or the L1 norm problem, is a mathematical optimization technique similar to the popular least squares technique that attempts to find a function which closely… …
72progrès — [ prɔgrɛ ] n. m. • 1611; « développement » 1532; lat. progressus « action d avancer », de progredi « aller en avant » 1 ♦ Vx Mouvement en avant; action d avancer. ♢ Mod. Avance (d une troupe, d une armée). « Il marque, avec de petits drapeaux,… …
73List of numerical analysis topics — This is a list of numerical analysis topics, by Wikipedia page. Contents 1 General 2 Error 3 Elementary and special functions 4 Numerical linear algebra …
74Malmquist bias — For other uses of Malmquist, see Malmquist (disambiguation). The Malmquist bias refers to an effect in observational astronomy which leads to the preferential detection of intrinsically bright objects. It was first popularized in 1922 by Swedish… …
75Enzyme inhibitor — Enzyme inhibitors are molecules that bind to enzymes and decrease their activity. Since blocking an enzyme s activity can kill a pathogen or correct a metabolic imbalance, many drugs are enzyme inhibitors. They are also used as herbicides and… …
76Spurious relationship — In statistics, a spurious relationship (or, sometimes, spurious correlation or spurious regression) is a mathematical relationship in which two events or variables have no direct causal connection, yet it may be wrongly inferred that they do, due …
77Generalized linear model — In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary least squares regression. It relates the random distribution of the measured variable of the experiment (the distribution function ) to the systematic (non …
78Autoregressive moving average model — In statistics, autoregressive moving average (ARMA) models, sometimes called Box Jenkins models after the iterative Box Jenkins methodology usually used to estimate them, are typically applied to time series data.Given a time series of data X t …
79Corwin Hansch — Born Corwin Herman Hansch October 6, 1918(1918 10 06) Kenmare, North Dakota Died May 8, 2011( …
80Bayesian information criterion — In statistics, in order to describe a particular dataset, one can use non parametric methods or parametric methods. In parametric methods, there might be various candidate models with different number of parameters to represent a dataset. The… …
