Mathematica 9 is now available
Services & Resources / Wolfram Forums / MathGroup Archive
-----

MathGroup Archive 2012

[Date Index] [Thread Index] [Author Index]

Search the Archive

Re: power of logistic distribution

  • To: mathgroup at smc.vnet.net
  • Subject: [mg126918] Re: power of logistic distribution
  • From: Bob Hanlon <hanlonr357 at gmail.com>
  • Date: Mon, 18 Jun 2012 05:41:00 -0400 (EDT)
  • Delivered-to: l-mathgroup@mail-archive0.wolfram.com
  • References: <201206170758.DAA08867@smc.vnet.net>

dist = LogisticDistribution[m, s];

Simplify[Moment[dist, n], n >= 0]

(2*Pi)^n*((-I)*s)^n*BernoulliB[n, 1/2 + (I*m)/(2*Pi*s)]

And@@Table[Moment[dist, n] == Mean[TransformedDistribution[z^n, z\[Distributed]dist]], {n, 0, 40}]//Simplify

True


Bob Hanlon


On Jun 17, 2012, at 3:58 AM, paul <paulvonhippel at yahoo.com> wrote:

> I would like an expression for the mean of a variable that is some integer power of a logistic variable. I have tried the following approach, which did not work. Many thanks for any suggestions.
>
> Here is what I've done so far. If I specify the power (e.g., power=2), Mathematica returns an answer rather quickly -- e.g.,
>
> In[66]:= Mean[TransformedDistribution[Z^2,
>   Z \[Distributed] LogisticDistribution[\[Mu], \[Sigma]]]]
> Out[66]= 1/3 (3 \[Mu]^2 + \[Pi]^2 \[Sigma]^2)
>
> I get quick results if the power is 2, 3, 4, ..., 100. So it seems to me there must be some general solution for integer powers. But when I ask for that general solution, Mathematica simply echoes the input:
>
> In[64]:= Assuming[p \[Element] Integers,
>  Mean[TransformedDistribution[Z^p,
>    Z \[Distributed] LogisticDistribution[\[Mu], \[Sigma]]]]]
> Out[64]= Mean[
> TransformedDistribution[\[FormalX]^
>  p, \[FormalX] \[Distributed] LogisticDistribution[\[Mu], \[Sigma]]]]
>
> Why isn't it giving me something more digested?
>



  • Prev by Date: Re: Structure of "identical" data not equal in size
  • Next by Date: Re: is Head[] part of the expression?
  • Previous by thread: power of logistic distribution
  • Next by thread: Re: power of logistic distribution