generalized variance


generalized variance
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English-Russian dictionary on experimental design. 2014.

Смотреть что такое "generalized variance" в других словарях:

  • Generalized Gaussian distribution — (GGD)= A random variable X has generalized Gaussian distribution if its probability density function (pdf) is given byf(x;m,sigma,alpha)=a exp( |(x m)/b|^alpha) ,x in R, where m is the mean of the distribution, sigma is the standard deviation,… …   Wikipedia

  • Generalized 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 …   Wikipedia

  • Variance inflation factor — In statistics, the variance inflation factor (VIF) is a method of detecting the severity of multicollinearity. More precisely, the VIF is an index which measures how much the variance of a coefficient (square of the standard deviation) is… …   Wikipedia

  • Generalized inverse Gaussian distribution — Probability distribution name =Generalized inverse Gaussian type =density pdf cdf parameters = a > 0, b > 0, p real support = x > 0 pdf =f(x) = frac{(a/b)^{p/2{2 K p(sqrt{ab})} x^{(p 1)} e^{ (ax + b/x)/2} cdf = mean =frac{sqrt{b} K { 1 p}(sqrt{a… …   Wikipedia

  • Generalized extreme value distribution — Probability distribution name =Generalized extreme value type =density pdf cdf parameters =mu in [ infty,infty] , location (real) sigma in (0,infty] , scale (real) xiin [ infty,infty] , shape (real) support =x>mu sigma/xi,;(xi > 0) x …   Wikipedia

  • Analysis of variance — In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of… …   Wikipedia

  • Multivariate analysis of variance — (MANOVA) is a generalized form of univariate analysis of variance (ANOVA). It is used when there are two or more dependent variables. It helps to answer : 1. do changes in the independent variable(s) have significant effects on the dependent …   Wikipedia

  • Allan variance — The Allan variance, named after David W. Allan, is a measurement of stability in clocks and oscillators. It is also known as the two sample variance.It is defined as one half of the time average of the squares of the differences between… …   Wikipedia

  • Normal variance-mean mixture — In probability theory and statistics, a normal variance mean mixture with mixing probability density g is the continuous probability distribution of a random variable Y of the form where α and β are real numbers and σ > 0 and random variables… …   Wikipedia

  • Computational formula for the variance — See also: Algorithms for calculating variance In probability theory and statistics, the computational formula for the variance Var(X) of a random variable X is the formula where E(X) is the expected value of X. A closely related identity can be… …   Wikipedia

  • Feasible generalized least squares — (FGLS or Feasible GLS) is a regression technique. It is similar to generalized least squares except that it uses an estimated variance covariance matrix since the true matrix is not known directly.The following description follows loosely the… …   Wikipedia

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