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-------- pdf, cdf, inverse and random deviate functions --------
beta_cdf : cdf of the beta distribution
beta_d : demo of beta distribution functions
beta_inv : inverse of the cdf (quantile) of the beta(a,b) distribution
beta_pdf : pdf of the beta(a,b) distribution
beta_rnd : random draws from the beta(a,b) distribution
bincoef : generate binomial coefficients
bingen : generate binomial probability
bino_cdf : cdf at x of the binomial(n,p) distribution
bino_d : demo of binomial distribution functions
bino_pdf : pdf at x of the binomial(n,p) distribution
bino_rnd : random sampling from a binomial distribution
chis_cdf : returns the cdf at x of the chisquared(n) distribution
chis_d : demo of chis-squared distribution functions
chis_inv : returns the inverse (quantile) at x of the chisq(n) distribution
chis_pdf : returns the pdf at x of the chisquared(n) distribution
chis_prb : computes the chi-squared probability function
chis_rnd : generates random chi-squared deviates
com_size : makes a,b scalars equal to constant matrices size(x)
demo_distr : demo all distribution functions
fdis_cdf : returns cdf at x of the F(a,b) distribution
fdis_d : demo of F-distribution functions
fdis_inv : returns inverse (quantile) at x of the F(a,b) distribution
fdis_pdf : returns pdf at x of the F(a,b) distribution
fdis_prb : computes f-distribution probabilities
fdis_rnd : returns random draws from the F(a,b) distribution
gamm_cdf : returns the cdf at x of the gamma(a) distribution
gamm_d : demo of gamma distribution functions
gamm_inv : returns the inverse of the cdf at p of the gamma(a) distribution
gamm_pdf : returns the pdf at x of the gamma(a) distribution
gamm_rnd : a matrix of random draws from the gamma distribution
hypg_cdf : hypergeometric cdf function
hypg_d : demo of Hypergeometric distribution functions
hypg_inv : hypergeometric inverse (quantile) function
hypg_pdf : hypergeometric pdf function
hypg_rnd : hypergeometric random draws
is_scalar : determines if argument x is scalar
logn_cdf : cdf of the lognormal distribution
logn_d : demo of log-normal distribution functions
logn_inv : inverse cdf (quantile) of the lognormal distribution
logn_pdf : pdf of the lognormal distribution
logn_rnd : random draws from the lognormal distribution
logt_cdf : cdf of the logistic distribution
logt_d : demo of logistic distribution functions
logt_inv : inv of the logistic distribution
logt_pdf : pdf of the logistic distribution at x
logt_rnd : random draws from the logistic distribution
norm_cdf : computes the cumulative normal distribution
norm_crnd : random numbers from a contaminated normal distribution
norm_inv : computes the quantile (inverse of the CDF)
norm_pdf : computes the normal probability density function
norm_prb : computes normal probability given
norm_prbd : demo of norm_prb function
norm_rnd : random multivariate random vector based on
normc_d : demo of contaminated normal random numbers
normlt_d : demo of left-truncated normal random numbers
normlt_inv : compute inverse of cdf for left-truncated normal
normlt_rnd : compute random draws from a left-truncated normal
normrt_d : demo of right-truncated normal random numbers
normrt_inv : compute inverse of cdf for right-truncated normal
normrt_rnd : compute random draws from a right-truncated normal
normt_d : demo of truncated normal random numbers
normt_inv : compute inverse of cdf for truncated normal
normt_rnd : random draws from a normal truncated to (left,right) interval
pois_cdf : computes the cumulative distribution function at x
pois_d : demo of poisson distribution functions
pois_inv : computes the quantile (inverse of the cdf) at x
pois_pdf : computes the probability density function at x
pois_rnd : generate random draws from the possion distribution
quantile : compute empirical quantile (percentile).
stdn_cdf : computes the standard normal cumulative
stdn_d : demo of standard normal distribution functions
stdn_inv : computes the quantile (inverse of the CDF)
stdn_pdf : computes the standard normal probability density
tdis_cdf : returns cdf at x of the t(n) distribution
tdis_d : demo of Student t-distribution functions
tdis_inv : returns the inverse (quantile) at x of the t(n) distribution
tdis_pdf : returns the pdf at x of the t(n) distribution
tdis_prb : calculates t-probabilities for elements in x-vector
tdis_rnd : returns random draws from the t(n) distribution
trunc_d : demo of truncated normal draws
unif_d : demo of uniform distribution functions
unif_rnd : returns a uniform random number between a,b
wish_d : demo of random draws from a Wishart distribution
wish_rnd : generate random wishart matrix