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2. Squared deviations from the mean - Wikipedia

   en.wikipedia.org/wiki/Squared_deviations_from...

   In statistics, the two-way analysis of variance (ANOVA) is an extension of the one-way ANOVA that examines the influence of two different categorical independent variables on one continuous dependent variable. The two-way ANOVA not only aims at assessing the main effect of each independent variable but also if there is any interaction between them.

3. Variance - Wikipedia

   en.wikipedia.org/wiki/Variance

   The red population has mean 100 and variance 100 (SD=10) while the blue population has mean 100 and variance 2500 (SD=50) where SD stands for Standard Deviation. In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable.

4. Cumulant - Wikipedia

   en.wikipedia.org/wiki/Cumulant

   Download as PDF; Printable version; ... the variance of the sum is the sum of the variances, the third cumulant (which happens to be the third central moment) of the ...

5. Variance function - Wikipedia

   en.wikipedia.org/wiki/Variance_function

   The plot of the non-parametric smoothed variance function can give the researcher an idea of the relationship between the variance and the mean. The picture to the right indicates a quadratic relationship between the mean and the variance. As we saw above, the Gamma variance function is quadratic in the mean.

6. Standard deviation - Wikipedia

   en.wikipedia.org/wiki/Standard_deviation

   As explained above, while s 2 is an unbiased estimator for the population variance, s is still a biased estimator for the population standard deviation, though markedly less biased than the uncorrected sample standard deviation. This estimator is commonly used and generally known simply as the "sample standard deviation".

7. Statistical dispersion - Wikipedia

   en.wikipedia.org/wiki/Statistical_dispersion

   Variance (the square of the standard deviation) – location-invariant but not linear in scale. Variance-to-mean ratio – mostly used for count data when the term coefficient of dispersion is used and when this ratio is dimensionless, as count data are themselves dimensionless, not otherwise. Some measures of dispersion have specialized purposes.

8. Deviance (statistics) - Wikipedia

   en.wikipedia.org/wiki/Deviance_(statistics)

   In statistics, deviance is a goodness-of-fit statistic for a statistical model; it is often used for statistical hypothesis testing.It is a generalization of the idea of using the sum of squares of residuals (SSR) in ordinary least squares to cases where model-fitting is achieved by maximum likelihood.

9. Triangular distribution - Wikipedia

   en.wikipedia.org/wiki/Triangular_distribution

   This distribution for a = 0, b = 1 and c = 0.5—the mode (i.e., the peak) is exactly in the middle of the interval—corresponds to the distribution of the mean of two standard uniform variables, that is, the distribution of X = (X 1 + X 2) / 2, where X 1, X 2 are two independent random variables with standard uniform distribution in [0, 1]. [1]