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.
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| - Loi de Tukey-lambda (fr)
- Tukey lambda distribution (en)
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| - En théorie des probabilités et en statistique, la loi de Tukey-lambda est une loi de probabilité à support compact ou infini, en fonction de la valeur de son paramètre. Cette loi est à densité, cependant sa densité ne possède pas d'expression analytique. La loi est alors définie par ses quantiles. (fr)
- 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. (en)
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| - Tukey lambda distribution (en)
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support
| - x ∈ R for λ ≤ 0 (en)
- x ∈ [−1/λ, 1/λ] for λ > 0, (en)
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| - En théorie des probabilités et en statistique, la loi de Tukey-lambda est une loi de probabilité à support compact ou infini, en fonction de la valeur de son paramètre. Cette loi est à densité, cependant sa densité ne possède pas d'expression analytique. La loi est alors définie par ses quantiles. (fr)
- 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. (en)
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| - λ ∈ R — shape parameter (en)
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