def Student_t(df, loc=0, scale=1, nc=0):
"""
(Non-central) Student-t distribution
df : float, Dist
Degrees of freedom
loc : float, Dist
Location parameter
scale : float, Dist
Scale parameter
nc : flat, Dist
Non-centrality parameter
"""
dist = co.student_t(df)*scale + loc
dist.addattr(str="Student_t(%s,%s,%s)" % (df, loc, scale))
return dist
def Student_t(df, loc=0, scale=1, nc=0):
"""
(Non-central) Student-t distribution
df : float, Dist
Degrees of freedom
loc : float, Dist
Location parameter
scale : float, Dist
Scale parameter
nc : flat, Dist
Non-centrality parameter
"""
dist = co.student_t(df) * scale + loc
dist.addattr(str="Student_t(%s,%s,%s)" % (df, loc, scale))
return dist
def __init__(self, a, R):
self.MV = mvstudentt(a, np.zeros(len(R)), R)
self.UV = student_t(a)
Dist.__init__(self, _length=len(R))
def __init__(self, a, R):
self.MV = mvstudentt(a, np.zeros(len(R)), R)
self.UV = student_t(a)
Dist.__init__(self, _length=len(R))
