Hello Dan,
Thank you very much for the email and the explaination which is very
useful. I might have still some problems. It is maybe due to lack of
enough knowledge in statistics :-)
I saw that most of the functions return double. Do you mean all
these are distributed between (0, 1)? Then your solution is in these
case perfect. But what should I do in the cases where a long int is
returned?
I copied and pasted an example from the documents, where an unsined
int is generated. Almost the same goes for all uniform
distributions.
Function: unsigned int gsl_ran_poisson (const gsl_rng * r, double
mu)
This function returns a random integer from the Poisson distribution
with mean mu. The probability distribution for Poisson variates is,
p(k) = {\mu^k \over k!} \exp(-\mu)
for k >= 0.
Does the above means that the function produces long int values
between (0, +inf)?
If so how can I produce (or get) say long ints between (100, 200)?
Does it make sense even thinking of something between (-100, 150)?
Thanks a lot
Mohd
-----Ursprüngliche Nachricht-----
Von: "Daniel J Farrell" <address@hidden>
Gesendet: 17.06.08 18:01:50
An: Mohammad Khaleghi <address@hidden>
CC: address@hidden
Betreff: Re: [Help-gsl] Random numbers within some ranges in the
domain using different distributipons?
Hello Mohd,
I think you are looking for this function:
f(r) = a + (b - a) * r
where a is the min value, b is the max values and r is a random
number
distributed between 0 and 1 (e.g. use gsl_rng_uniform_pos() to
generate r).
This come up a lot on the mailing list maybe it should be added to
the
library?
Cheers,
Dan.
On 17 Jun 2008, at 16:26, Mohammad Khaleghi wrote:
Hi everybody!
Could somebody please tell me how to generate random numbers
within
some ranges in the domain?
I saw the documentation and did not see anything like setting a
min
and max. I mean for a distribution that has a domain (-inf, + inf)
could one set some range (min, max) to sample from? Or it is not
possible with gsl?
thans, Mohd
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