Article View: sci.math.stat
Article #578Re: non-central chi-squared distributions
From: Philip Bond
Date: Tue, 29 Sep 1992 08:33
Date: Tue, 29 Sep 1992 08:33
44 lines
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2029 bytes
In article 15051@head-cfa.harvard.edu, dj@head-cfa.harvard.edu (Diab Jerius) writes: >i have come across references to a non-central chi-squared distribution >in the statlib/netlib random number generator package ranlib. >it is described in the accompanying documentation as being the sum of a >chi-squared deviate with df-1 degrees of freedom and the square of a normal >deviate with standard deviation of 1 and non-zero mean. > >i am totally ignorant as to what these distributions are based on or what >they're use might be, but from the name of the beast i may have some >use for it. > >i have searched through quite a few probability and statistics references, >but none seems to describe this distribution. can anyone point me to >a reference or perhaps briefly describe from whence it arose and what >its use might be? > > >thanks much! > >diab >-- >------------------------------------------------------------------------------ >diab jerius | harvard-smithsonian center for astrophysics >jerius@cfa.harvard.edu | 60 garden st., m/s 81, cambridge ma 02138 > | vox: 617-496-7575 fax: 617-495-7356 These are generated, for example, by mean-reverting square root processes, ie: Let X be a positive stochastic variable, K and u be parameters. Then the stochastic differential equation dX = K( u - X ) dt + sqrt(X) dz where dz is a brownian process, will generate a non-central Chi2 distribution for X as a function of time t. Usual disclaimers, PB.
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Path: arc1-ca.pugleaf.net!sparky!uunet!mcsun!uknet!stl!sbil!wet!spitws100!pbond From: pbond@spitws100.sbil.co.uk (Philip Bond) Newsgroups: sci.math.stat Subject: Re: non-central chi-squared distributions Message-ID: <1992Sep29.083315.10787@sbil.co.uk> Date: 29 Sep 92 08:33:15 GMT References: <1992Sep22.175551.15051@head-cfa.harvard.edu> Sender: news@sbil.co.uk Reply-To: pbond@spitws100.sbil.co.uk Organization: Salomon Brothers, Ltd. Lines: 44