Probability distributions with non-finite variance | Continuous distributions

Tukey lambda distribution

Formalized by John Tukey, the Tukey lambda distribution is a continuous, symmetric probability distribution defined in terms of its quantile function. It is typically used to identify an appropriate distribution (see the comments below) and not used in statistical models directly. The Tukey lambda distribution has a single shape parameter, λ, and as with other probability distributions, it can be transformed with a location parameter, μ, and a scale parameter, σ. Since the general form of probability distribution can be expressed in terms of the standard distribution, the subsequent formulas are given for the standard form of the function. (Wikipedia).

Tukey lambda distribution
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Related pages

Scale parameter | Concave function | Cauchy distribution | Histogram | Shape parameter | Continuous uniform distribution | Statistical model | Reflection symmetry | Probability density function | Cumulative distribution function | Normal distribution | Location parameter | John Tukey | Quantile function | Logistic distribution | Beta function