`scipy.stats._new_distributions:_LogUniform`

source: /scipy/stats/_new_distributions.py :276

Signature

   def     _LogUniform (  * ,     a    =  None   ,    b    =  None   ,    log_a    =  None   ,    log_b    =  None   ,   ** kwargs      )

Members

__init__
_moment_raw_formula
_pdf_formula
_process_parameters

Summary

Log-uniform distribution.

Extended Summary

The probability density function of the log-uniform distribution is:

f (x; a, b) = \frac{1}{x ( lo g ( b ) - lo g ( a ))}

If $lo g (X)$ is a random variable that follows a uniform distribution between $lo g (a)$ and $lo g (b)$ , then $X$ is log-uniformly distributed with shape parameters $a$ and $b$ .

Aliases

scipy.stats._new_distributions._LogUniform