I am so sorry that I forget about this as the 'gaussian'distribution in sage 
only take one parameter sigma. I think 'normal' distribution should have two 
parameters mu and sigma.


Kannappan Sampath <kntri...@gmail.com>提到:

>On Tue, Jun 24, 2014 at 8:28 PM, gofortu...@gmail.com <gofortu...@gmail.com> 
>wrote:
>
>In fact,I like the pure math part of sage.But it would be better if I can do 
>some modelling on sage.
>Recently I was reading the reference manual of probability, but I found that 
>RealDistribution does not support normal distribution.
>RealDistribution supports uniform, gaussian,rayleigh,lognormal, pareto ,t 
>,F,chisquared,exppow, beta, weibull.
>
>
>gaussian is another well-known name for the normal distribution, isn't it? 
>
> 
>
>kcrisman <kcris...@gmail.com>提到:
>
>
>
>
>
>Thank you,Kcrisman.
>I am so sorry that I did not ask my question clearly, but luckly you 
>understand most of my question.
>The link to publication that use sage is great.
>I do hope sage can have a lot of packages like R.
>It seems that sage focus on pure mathematics more than application.I do not 
>find some module such as neural network.
>
>
>This is true in Sage proper, but luckily there are many Python packages as 
>well that do many applications.    For example, "pybrain" and "conx" seem to 
>be good things to check out.  And then you can use them within Sage as well as 
>standalone.   The idea is that Sage does the mathematics and related packages 
>can join modeling to it - though we would not object to modeling!  For 
>instance, "brian" is an optional Sage package.
>
>
>- kcrisman
>
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