LOCATION PARAMETER
In statistics, if a family of probability densities parametrized by a scalar- or vector-valued parameter μ is of the form
:''f''μ(''x'') = ''f''(''x'' − μ)
where ''f'' is a probability density, then μ is called a 'location parameter', since its value determines the "location" of the probability distribution.
In other words, when you graph the function, the 'location parameter' determines where the origin will be located. If ''μ'' is positive, the origin will be shifted to the right, and if ''μ'' is negative, it will be shifted to the left.
★ equivariance
★ location-scale family
★ numerical parameter
★ statistical dispersion
★ scale parameter
:''f''μ(''x'') = ''f''(''x'' − μ)
where ''f'' is a probability density, then μ is called a 'location parameter', since its value determines the "location" of the probability distribution.
In other words, when you graph the function, the 'location parameter' determines where the origin will be located. If ''μ'' is positive, the origin will be shifted to the right, and if ''μ'' is negative, it will be shifted to the left.
| Contents |
| See also |
See also
★ equivariance
★ location-scale family
★ numerical parameter
★ statistical dispersion
★ scale parameter
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