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Re: how to get random numbers from a distribution
*To*: mathgroup at smc.vnet.net
*Subject*: [mg81487] Re: how to get random numbers from a distribution
*From*: "Nasser Abbasi" <nma at 12000.org>
*Date*: Wed, 26 Sep 2007 06:30:29 -0400 (EDT)
*References*: <fd7s2q$cfd$1@smc.vnet.net>
<tdoxmail at gmail.com> wrote in message news:fd7s2q$cfd$1 at smc.vnet.net...
> Hi ya alll
>
> I am a new Mathematica user.
> I have a function that i use to generate a probability distribution
> (eg x^2). I want a random number generator, that should generate
> values from this probability distribution only,
>
> I know this Random function in mathematica, that can generate in
> particular range, but how do i tell to generate from a particular
> distribution.
>
> I created a list of values using my probability function but not able
> to integrate it with Random function so that random numnber takes
> value from that list.
>
> Also I googled and saw some function like RandomChoice and some other
> but they are available in Mathematica6 and i use 5.2.
>
> Can u help with this.
>
> Thanks in advace
>
Mathematica can generate random numbers from known distributions. I have
small note on this:
http://12000.org/my_notes/generate_random_variables/index.htm
But If your density function, call it f(x), is not one of the known ones to
Mathematica, or if it one in which the inverse CDF of it is hard to find,
then you can use the counting method called accept-reject method to generate
random numbers from your specific distribution f(x). You would need to have
an explicit form for f(x).
You would only need to use RandomReal[] and another known distribution (the
envelope over your f(x)) to do that.
For example, I just wrote a Manipulate program to generate random numbers
from normal distribution using the accept reject method, using as envelop
the double exponential density. This is just to show how the accept-reject
method work.
http://12000.org/tmp/091907_502/part32.htm
Nasser
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