[Return to Master Index]

    -------- 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)
    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
    skewtdis_cdf  : returns the cdf at x of Hansen's (1994) 'skewed t' distribution
    skewtdis_inv  : returns the inverse cdf at u of Hansen's (1994) 'skewed t' distribution
    skewtdis_ll   : returns the log-likelihood at x of Hansen's (1994) 'skewed t' distribution
    skewtdis_pdf  : returns the pdf at x of Hansen's (1994) 'skewed t' distribution
    skewtdis_rnd  : returns random draws from Hansen's (1994) 'skewed t' distribution
    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