On Fri, Oct 8, 2010 at 1:55 PM, Pauli Virtanen <p...@iki.fi> wrote: > Fri, 08 Oct 2010 13:28:01 -0400, josef.pktd wrote: > [clip] >> I think I clarified the doc string enough that user that read the >> docstring don't get confused anymore. >> http://docs.scipy.org/numpy/docs/numpy.random.mtrand.RandomState.pareto/ >> >> At least the first part is explicit about it, the notes refer to pareto >> in general or pareto 1 (formula is for pareto 1) > > I read this part: > > """ > The classical Pareto distribution can be obtained from the Lomax > distribution by adding the location parameter m, see below. The smallest
"adding" is in the sense of rvs + m s = np.random.pareto(a, 1000) + m not that the distribution has an added location parameter I will check my notes, and try to rewrite it in a clearer way. > value of the Lomax distribution is zero while for the classical Pareto > distribution it is m, where the standard Pareto distribution has location > m=1. > """ > > and understood it as follows (with no prior knowledge what a Pareto > distribution is): > > """ > The difference between Pareto and Lomax is that Lomax has an added > parameter `m`. The Pareto distribution is obtained from Lomax by setting > m=1. > """ > > Which is of course wrong. So I think it would still pay off to rephrase > this. I'd also write down the PDF of the Lomax distribution in the Notes > to reduce confusion. ok, will do Josef > > Pauli > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
