Range 0 < 𝑥 - 𝜃 < ∞
Location parameter, 𝜇, the mean
Scale parameter, 𝜎 > 0, the standard deviation
Shape parameter 𝜆
Threshold parameter 𝜃 < 𝑚𝑖𝑛(𝑥)
Notes: The concentrated likelihood is used in the ML estimation. This implies that the location and scale parameters are not estimated freely, but are derived as the mean and standard deviation of the BoxCox transformed variate.