-------- 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