finite variance
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Variance — In probability theory and statistics, the variance of a random variable, probability distribution, or sample is one measure of statistical dispersion, averaging the squared distance of its possible values from the expected value (mean). Whereas… … 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
Algorithms for calculating variance — play a major role in statistical computing. A key problem in the design of good algorithms for this problem is that formulas for the variance may involve sums of squares, which can lead to numerical instability as well as to arithmetic overflow… … 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
Hadamard variance — The Hadamard variance (HVAR) is a measure of stability of clocks and oscillators. It uses 3 sample variance, not unlike the Allan variance, which uses 2 sample variance. But unlike the Allan variance, the Hadamard variance is able to converge a… … Wikipedia
Law of total variance — In probability theory, the law of total variance or variance decomposition formula states that if X and Y are random variables on the same probability space, and the variance of X is finite, then:operatorname{var}(X)=operatorname{E}(operatorname{v… … Wikipedia
True variance — In statistics, the term true variance is often used to refer to the unobservable variance of a whole finite population, as distinguished from an observable statistic based on a sample. Suppose a number, such as a person s height or income or age… … Wikipedia
Conditional variance swap — A conditional variance swap is a type of swap Derivative (finance) product that allows investors to take exposure to volatility in the price of an underlying security only while the underlying security is within a pre specified price range. This… … Wikipedia
Constant Elasticity of Variance Model — In mathematical finance, the CEV or Constant Elasticity of Variance model is a stochastic volatility model, which attempts to capture stochastic volatility and the leverage effect. The model is widely used by practitioners in the financial… … Wikipedia
probability theory — Math., Statistics. the theory of analyzing and making statements concerning the probability of the occurrence of uncertain events. Cf. probability (def. 4). [1830 40] * * * Branch of mathematics that deals with analysis of random events.… … Universalium
Central limit theorem — This figure demonstrates the central limit theorem. The sample means are generated using a random number generator, which draws numbers between 1 and 100 from a uniform probability distribution. It illustrates that increasing sample sizes result… … Wikipedia
