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