#NEWLINE# def __init__( self , mean , sigma , df ) : #NEWLINE# #INDENT# 'initialize instance\n\n        Parameters\n        ----------\n        mean : array_like\n            parameter mu (might be renamed), for symmetric distributions this\n            is the mean\n        sigma : array_like, 2d\n            dispersion matrix, covariance matrix in normal distribution, but\n            only proportional to covariance matrix in t distribution\n        args : list\n            distribution specific arguments, e.g. df for t distribution\n        kwds : dict\n            currently not used\n\n        ' #NEWLINE# super ( MVT , self ) . __init__ ( sigma , sigma ) #NEWLINE# self . extra_args = [ 'df' ] #NEWLINE# self . df = df