% Statistics Toolbox % betafit - Beta parameter estimation. % binofit - Binomial parameter estimation. % dfittool - Distribution fitting tool. % evfit - Extreme value parameter estimation. % expfit - Exponential parameter estimation. % gamfit - Gamma parameter estimation. % lognfit - Lognormal parameter estimation. % mle - Maximum likelihood estimation (MLE). % mlecov - Asymptotic covariance matrix of MLE. % nbinfit - Negative binomial parameter estimation. % normfit - Normal parameter estimation. % poissfit - Poisson parameter estimation. % raylfit - Rayleigh parameter estimation. % unifit - Uniform parameter estimation. % wblfit - Weibull parameter estimation. % % Probability density functions (pdf). % betapdf - Beta density. % binopdf - Binomial density. % chi2pdf - Chi square density. % evpdf - Extreme value density. % exppdf - Exponential density. % fpdf - F density. % gampdf - Gamma density. % geopdf - Geometric density. % hygepdf - Hypergeometric density. % lognpdf - Lognormal density. % mvnpdf - Multivariate normal density. % nbinpdf - Negative binomial density. % ncfpdf - Noncentral F density. % nctpdf - Noncentral t density. % ncx2pdf - Noncentral Chi-square density. % normpdf - Normal (Gaussian) density. % pdf - Density function for a specified distribution. % poisspdf - Poisson density. % raylpdf - Rayleigh density. % tpdf - T density. % unidpdf - Discrete uniform density. % unifpdf - Uniform density. % wblpdf - Weibull density. % % Cumulative Distribution functions (cdf). % betacdf - Beta cdf. % binocdf - Binomial cdf. % cdf - Specified cumulative distribution function. % chi2cdf - Chi square cdf. % ecdf - Empirical cdf (Kaplan-Meier estimate). % evcdf - Extreme value cumulative distribution function. % expcdf - Exponential cdf. % fcdf - F cdf. % gamcdf - Gamma cdf. % geocdf - Geometric cdf. % hygecdf - Hypergeometric cdf. % logncdf - Lognormal cdf. % nbincdf - Negative binomial cdf. % ncfcdf - Noncentral F cdf. % nctcdf - Noncentral t cdf. % ncx2cdf - Noncentral Chi-square cdf. % normcdf - Normal (Gaussian) cdf. % poisscdf - Poisson cdf. % raylcdf - Rayleigh cdf. % tcdf - T cdf. % unidcdf - Discrete uniform cdf. % unifcdf - Uniform cdf. % wblcdf - Weibull cdf. % % Critical Values of Distribution functions. % betainv - Beta inverse cumulative distribution function. % binoinv - Binomial inverse cumulative distribution function. % chi2inv - Chi square inverse cumulative distribution function. % evinv - Extreme value inverse cumulative distribution function. % expinv - Exponential inverse cumulative distribution function. % finv - F inverse cumulative distribution function. % gaminv - Gamma inverse cumulative distribution function. % geoinv - Geometric inverse cumulative distribution function. % hygeinv - Hypergeometric inverse cumulative distribution function. % icdf - Specified inverse cdf. % logninv - Lognormal inverse cumulative distribution function. % nbininv - Negative binomial inverse distribution function. % ncfinv - Noncentral F inverse cumulative distribution function. % nctinv - Noncentral t inverse cumulative distribution function. % ncx2inv - Noncentral Chi-square inverse distribution function. % norminv - Normal (Gaussian) inverse cumulative distribution function. % poissinv - Poisson inverse cumulative distribution function. % raylinv - Rayleigh inverse cumulative distribution function. % tinv - T inverse cumulative distribution function. % unidinv - Discrete uniform inverse cumulative distribution function. % unifinv - Uniform inverse cumulative distribution function. % wblinv - Weibull inverse cumulative distribution function. % % Random Number Generators. % betarnd - Beta random numbers. % binornd - Binomial random numbers. % chi2rnd - Chi square random numbers. % evrnd - Extreme value random numbers. % exprnd - Exponential random numbers. % frnd - F random numbers. % gamrnd - Gamma random numbers. % geornd - Geometric random numbers. % hygernd - Hypergeometric random numbers. % iwishrnd - Inverse Wishart random matrix. % lognrnd - Lognormal random numbers. % mvnrnd - Multivariate normal random numbers. % mvtrnd - Multivariate t random numbers. % nbinrnd - Negative binomial random numbers. % ncfrnd - Noncentral F random numbers. % nctrnd - Noncentral t random numbers. % ncx2rnd - Noncentral Chi-square random numbers. % normrnd - Normal (Gaussian) random numbers. % poissrnd - Poisson random numbers. % randg - Gamma random numbers (unit scale). % random - Random numbers from specified distribution. % randsample - Random sample from finite population. % raylrnd - Rayleigh random numbers. % trnd - T random numbers. % unidrnd - Discrete uniform random numbers. % unifrnd - Uniform random numbers. % wblrnd - Weibull random numbers. % wishrnd - Wishart