Scilab's probability distribution functions can compute any of the parameters of a distribution as a function of the others. For example, the built-in cdfnor can compute the cumulative probability P and reliability Q, or the value of the ordinate X, or the Mean, or the standard deviation Std, depending on how the function is called, as follows:
Note that if P is given, Q=P-1 must be given also, even though it is trivial.
In addition to the built-in distributions, one can install the ``distfun'' function toolbox to make more distributions available. The toolboxes are distributed through ATOMS at https://atoms.scilab.org/. We illustrate the process with ``distfun''.
To install the "distfun" toolbox, or any other, in Windows \> open the Scilab Console \> type atomsInstall("distfun"). To quit \> type "exit". It will download and install the toolbox automatically. As of 7/7/2016, it installs the following:
That is, it installs the ``distfun'' functions listed in https://atoms.scilab.org/toolboxes/distfun/1.0/ Specifically, for each distribution x, the following five functions are provided
distfun_xcdf : x CDF
distfun_xinv : x Inverse CDF (quantile)
distfun_xpdf : x PDF
distfun_xrnd : x random numbers
distfun_xstat : x mean and variance
The toolbox installation also adds those functions to the help system, so from the Scilab console one can request help to learn what parameters are needed and in what order as follows
where yyy is the name of the function, namely cdf, inv, pdf, rnd, or stat.
Specifically for the non-central T-distribution, the following functions are provided:
distfun_nctcdf : cdf
distfun_nctinv : icdf
distfun_nctpdf : pdf
distfun_nctrnd : random numbers
distfun_nctstat : mean and variance