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Location-scale family: Information from Answers.com

In probability theory, especially as that field is used in statistics, a location-scale family is a family of univariate probability distributions parametrized by a location parameter μ and a scale parameter σ ≥ 0; if X is any random variable whose probability distribution belongs to such a family, then Y = μ + σX is another, and every distribution in the family is of that form.

In other words, a class Ω of probability distributions is a location-scale family if whenever F is the cumulative distribution function of a member of Ω and μ is any real number and σ > 0, then G(x) = F(μ + σx) is also the cumulative distribution function of a member of Ω.

Examples

References

http://www.ds.unifi.it/VL/VL_EN/special/special1.html

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Probability distributions
Discrete univariate with finite support

Benford · Bernoulli · binomial · categorical · hypergeometric · Rademacher · discrete uniform · Zipf · Zipf-Mandelbrot

Discrete univariate with infinite support
Continuous univariate supported on a bounded interval, e.g. [0,1]
Continuous univariate supported on a semi-infinite interval, usually [0,∞)
Continuous univariate supported on the whole real line (-∞,∞)
Multivariate (joint)
Directional, degenerate, and singular
Families

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