 betacdf | % For each element of @var{x}, returns the CDF at @var{x} of the beta |
| betainv | % For each component of @var{x}, compute the quantile (the inverse of |
| betapdf | % For each element of @var{x}, returns the PDF at @var{x} of the beta |
| betarnd | % Return an @var{r} by @var{c} or @code{size (@var{sz})} matrix of |
| binocdf | % For each element of @var{x}, compute the CDF at @var{x} of the |
| binoinv | % For each element of @var{x}, compute the quantile at @var{x} of the |
| binopdf | % For each element of @var{x}, compute the probability density function |
| binornd | % Return an @var{r} by @var{c} or a @code{size (@var{sz})} matrix of |
| cauchy_cdf | % For each element of @var{x}, compute the cumulative distribution |
| cauchy_inv | % For each element of @var{x}, compute the quantile (the inverse of the |
| cauchy_pdf | % For each element of @var{x}, compute the probability density function |
| cauchy_rnd | % Return an @var{r} by @var{c} or a @code{size (@var{sz})} matrix of |
| chi2cdf | % For each element of @var{x}, compute the cumulative distribution |
| chi2inv | % For each element of @var{x}, compute the quantile (the inverse of the |
| chi2pdf | % For each element of @var{x}, compute the probability density function |
| chi2rnd | % Return an @var{r} by @var{c} or a @code{size (@var{sz})} matrix of |
| discrete_cdf | % For each element of @var{x}, compute the cumulative distribution |
| discrete_inv | % For each component of @var{x}, compute the quantile (the inverse of |
| discrete_pdf | % For each element of @var{x}, compute the probability density function |
| discrete_rnd | % Generate a row vector containing a random sample of size @var{n} from |
| empirical_cdf | % For each element of @var{x}, compute the cumulative distribution |
| empirical_inv | % For each element of @var{x}, compute the quantile (the inverse of the |
| empirical_pdf | % For each element of @var{x}, compute the probability density function |
| empirical_rnd | % Generate a bootstrap sample of size @var{n} from the empirical |
| expcdf | % For each element of @var{x}, compute the cumulative distribution |
| expinv | % For each element of @var{x}, compute the quantile (the inverse of the |
| exppdf | % For each element of @var{x}, compute the probability density function |
| exprnd | % Return an @var{r} by @var{c} matrix of random samples from the |
| fcdf | % For each element of @var{x}, compute the CDF at @var{x} of the F |
| finv | % For each component of @var{x}, compute the quantile (the inverse of |
| fpdf | % For each element of @var{x}, compute the probability density function |
| frnd | % Return an @var{r} by @var{c} matrix of random samples from the F |
| gamcdf | % For each element of @var{x}, compute the cumulative distribution |
| gaminv | % For each component of @var{x}, compute the quantile (the inverse of |
| gampdf | % For each element of @var{x}, return the probability density function |
| gamrnd | % Return an @var{r} by @var{c} or a @code{size (@var{sz})} matrix of |
| geocdf | % For each element of @var{x}, compute the CDF at @var{x} of the |
| geoinv | % For each element of @var{x}, compute the quantile at @var{x} of the |
| geopdf | % For each element of @var{x}, compute the probability density function |
| geornd | % Return an @var{r} by @var{c} matrix of random samples from the |
| hygecdf | % Compute the cumulative distribution function (CDF) at @var{x} of the |
| hygeinv | % For each element of @var{x}, compute the quantile at @var{x} of the |
| hygepdf | % Compute the probability density function (PDF) at @var{x} of the |
| hygernd | % Return an @var{r} by @var{c} matrix of random samples from the |
| kolmogorov_smirnov_cdf | % Return the CDF at @var{x} of the Kolmogorov-Smirnov distribution, |
| laplace_cdf | % For each element of @var{x}, compute the cumulative distribution |
| laplace_inv | % For each element of @var{x}, compute the quantile (the inverse of the |
| laplace_pdf | % For each element of @var{x}, compute the probability density function |
| laplace_rnd | % Return an @var{r} by @var{c} matrix of random numbers from the |
| logistic_cdf | % For each component of @var{x}, compute the CDF at @var{x} of the |
| logistic_inv | % For each component of @var{x}, compute the quantile (the inverse of |
| logistic_pdf | % For each component of @var{x}, compute the PDF at @var{x} of the |
| logistic_rnd | % Return an @var{r} by @var{c} matrix of random numbers from the |
| logncdf | % For each element of @var{x}, compute the cumulative distribution |
| logninv | % For each element of @var{x}, compute the quantile (the inverse of the |
| lognpdf | % For each element of @var{x}, compute the probability density function |
| lognrnd | % Return an @var{r} by @var{c} matrix of random samples from the |
| nbincdf | % For each element of @var{x}, compute the CDF at x of the Pascal |
| nbininv | % For each element of @var{x}, compute the quantile at @var{x} of the |
| nbinpdf | % For each element of @var{x}, compute the probability density function |
| nbinrnd | % Return an @var{r} by @var{c} matrix of random samples from the Pascal |
| normcdf | % For each element of @var{x}, compute the cumulative distribution |
| norminv | % For each element of @var{x}, compute the quantile (the inverse of the |
| normpdf | % For each element of @var{x}, compute the probability density function |
| normrnd | % Return an @var{r} by @var{c} or @code{size (@var{sz})} matrix of |
| poisscdf | % For each element of @var{x}, compute the cumulative distribution |
| poissinv | % For each component of @var{x}, compute the quantile (the inverse of |
| poisspdf | % For each element of @var{x}, compute the probability density function |
| poissrnd | % Return an @var{r} by @var{c} matrix of random samples from the |
| stdnormal_cdf | % For each component of @var{x}, compute the CDF of the standard normal |
| stdnormal_inv | % For each component of @var{x}, compute the quantile (the |
| stdnormal_pdf | % For each element of @var{x}, compute the probability density function |
| stdnormal_rnd | % Return an @var{r} by @var{c} or @code{size (@var{sz})} matrix of |
| tcdf | % For each element of @var{x}, compute the cumulative distribution |
| tinv | % For each probability value @var{x}, compute the inverse of the |
| tpdf | % For each element of @var{x}, compute the probability density function |
| trnd | % Return an @var{r} by @var{c} matrix of random samples from the t |
| unidcdf | % For each element of @var{x}, compute the cumulative distribution |
| unidinv | % For each component of @var{x}, compute the quantile (the inverse of |
| unidpdf | % For each element of @var{x}, compute the probability density function |
| unidrnd | % Return random values from discrete uniform distribution, with maximum |
| unifcdf | % Return the CDF at @var{x} of the uniform distribution on [@var{a}, |
| unifinv | % For each element of @var{x}, compute the quantile (the inverse of the |
| unifpdf | % For each element of @var{x}, compute the PDF at @var{x} of the uniform |
| unifrnd | % Return an @var{r} by @var{c} or a @code{size (@var{sz})} matrix of |
| wblcdf | % Compute the cumulative distribution function (CDF) at @var{x} of the |
| wblinv | % Compute the quantile (the inverse of the CDF) at @var{x} of the |
| wblpdf | % Compute the probability density function (PDF) at @var{x} of the |
| wblrnd | % Return an @var{r} by @var{c} matrix of random samples from the |
| wienrnd | % Return a simulated realization of the @var{d}-dimensional Wiener Process |
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