In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable. The standard deviation...

In statistics and machine learning, the bias–variance tradeoff describes the relationship between a model's complexity, the accuracy of its predictions...

all its random variables have the same finite variance; this is also known as homogeneity of variance. The complementary notion is called heteroscedasticity...

Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between...

The Allan variance (AVAR), also known as two-sample variance, is a measure of frequency stability in clocks, oscillators and amplifiers. It is named after...

Look up variance in Wiktionary, the free dictionary. In probability theory and statistics, variance measures how far a set of numbers are spread out....

variance σ i 2 {\displaystyle \sigma _{i}^{2}} , all having the same mean, one possible choice for the weights is given by the reciprocal of variance:...

population, data set, or probability distribution is the square root of its variance. It is algebraically simpler, though in practice less robust, than the...

matrix (also known as auto-covariance matrix, dispersion matrix, variance matrix, or variance–covariance matrix) is a square matrix giving the covariance between...

theory, the law of total variance or variance decomposition formula or conditional variance formulas or law of iterated variances also known as Eve's law...

In statistics, the variance inflation factor (VIF) is the ratio (quotient) of the variance of a parameter estimate when fitting a full model that includes...

Gender variance or gender nonconformity is behavior or gender expression by an individual that does not match masculine or feminine gender norms. A gender-nonconforming...

Sales variance is the difference between actual sales and budgeted sales. It is used to measure the performance of a sales function, and/or analyze business...

moment (about the origin) of the error, and thus incorporates both the variance of the estimator (how widely spread the estimates are from one data sample...

the minimum-variance mean (for large normal samples), which is to say the variance of the median will be ~50% greater than the variance of the mean....

The generalized variance is a scalar value which generalizes variance for multivariate random variables. It was introduced by Samuel S. Wilks. The generalized...

In probability theory and statistics, a conditional variance is the variance of a random variable given the value(s) of one or more other variables. Particularly...

the parameter σ {\displaystyle \sigma } is its standard deviation. The variance of the distribution is σ 2 {\displaystyle \sigma ^{2}} . A random variable...

In statistics, pooled variance (also known as combined variance, composite variance, or overall variance, and written σ 2 {\displaystyle \sigma ^{2}} )...

should be substitutable wherever an expression of type Animal is used. Variance is how subtyping between more complex types relates to subtyping between...

Modern portfolio theory (MPT), or mean-variance analysis, is a mathematical framework for assembling a portfolio of assets such that the expected return...

In statistics, inverse-variance weighting is a method of aggregating two or more random variables to minimize the variance of the weighted average. Each...

In variance analysis (accounting) direct material total variance is the difference between the actual cost of actual number of units produced and its...

average variance extracted (AVE) is a measure of the amount of variance that is captured by a construct in relation to the amount of variance due to measurement...

The term cosmic variance is the statistical uncertainty inherent in observations of the universe at extreme distances. It has three different but closely...

F-test is any statistical test used to compare the variances of two samples or the ratio of variances between multiple samples. The test statistic, random...

In mathematics, more specifically in the theory of Monte Carlo methods, variance reduction is a procedure used to increase the precision of the estimates...

statistics, the variance function is a smooth function that depicts the variance of a random quantity as a function of its mean. The variance function is...

Algorithms for calculating variance play a major role in computational statistics. A key difficulty in the design of good algorithms for this problem is...

fraction of variance unexplained (FVU), since the second term compares the unexplained variance (variance of the model's errors) with the total variance (of the...