| Statistics Toolbox |
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Probability Distributions
For each supported distribution, the Statistics Toolbox provides associated functions in each of these categories
Parameter Estimation
betafit
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Parameter estimation for the beta distribution
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betalike
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Negative beta log-likelihood function
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binofit
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Parameter estimation for the binomial distribution
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expfit
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Parameter estimation for the exponential distribution
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gamfit
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Parameter estimation for the gamma distribution
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gamlike
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Negative gamma log-likelihood function
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mle
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Maximum likelihood estimation
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nbinfit
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Parameter estimates and confidence intervals for negative binomial data
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normfit
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Parameter estimation for the normal distribution
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normlike
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Negative normal log-likelihood function
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poissfit
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Parameter estimation for the Poisson distribution
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raylfit
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Rayleigh parameter estimation
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unifit
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Parameter estimation for the uniform distribution
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weibfit
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Weibull parameter estimation
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weiblike
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Weibull negative log-likelihood function
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Cumulative Distribution Functions (cdf)
Probability Density Functions (pdf)
Inverse Cumulative Distribution Functions
betainv
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Beta critical values
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binoinv
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Binomial critical values
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chi2inv
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Chi-square critical values
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expinv
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Exponential critical values
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finv
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F critical values
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gaminv
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Gamma critical values
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geoinv
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Geometric critical values
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hygeinv
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Hypergeometric critical values
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icdf
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Parameterized inverse distribution routine
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logninv
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Lognormal critical values
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nbininv
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Negative binomial critical values
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ncfinv
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Noncentral F critical values
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nctinv
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Noncentral t critical values
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ncx2inv
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Noncentral Chi-square critical values
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norminv
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Normal (Gaussian) critical values
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poissinv
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Poisson critical values
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raylinv
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Rayleigh critical values
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tinv
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Student's t critical values
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unidinv
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Discrete uniform critical values
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unifinv
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Continuous uniform critical values
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weibinv
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Weibull critical values
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Random Number Generators
betarnd
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Beta random numbers
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binornd
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Binomial random numbers
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chi2rnd
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Chi-square random numbers
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exprnd
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Exponential random numbers
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frnd
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F random numbers
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gamrnd
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Gamma random numbers
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geornd
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Geometric random numbers
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hygernd
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Hypergeometric random numbers
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iwishrnd
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Inverse Wishart random matrix
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lhsdesign
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Latin hypercube sample
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lhsnorm
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Latin hypercube sample with normal distribution
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lognrnd
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Lognormal random numbers
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mvnrnd
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Multivariate normal random numbers
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mvtrnd
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Multivariate t random numbers
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nbinrnd
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Negative binomial random numbers
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ncfrnd
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Noncentral F random numbers
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nctrnd
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Noncentral t random numbers
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ncx2rnd
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Noncentral Chi-square random numbers
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normrnd
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Normal (Gaussian) random numbers
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poissrnd
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Poisson random numbers
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random
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Parameterized random number routine
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raylrnd
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Rayleigh random numbers
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trnd
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Student's t random numbers
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unidrnd
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Discrete uniform random numbers
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unifrnd
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Continuous uniform random numbers
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weibrnd
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Weibull random numbers
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wishrnd
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Wishart random matrix
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Moments of Distribution Functions
betastat
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Beta mean and variance
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binostat
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Binomial mean and variance
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chi2stat
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Chi-square mean and variance
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expstat
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Exponential mean and variance
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fstat
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F mean and variance
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gamstat
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Gamma mean and variance
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geostat
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Geometric mean and variance
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hygestat
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Hypergeometric mean and variance
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lognstat
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Lognormal mean and variance
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nbinstat
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Negative binomial mean and variance
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ncfstat
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Noncentral F mean and variance
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nctstat
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Noncentral t mean and variance
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ncx2stat
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Noncentral Chi-square mean and variance
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normstat
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Normal (Gaussian) mean and variance
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poisstat
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Poisson mean and variance
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raylstat
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Rayleigh mean and variance
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tstat
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Student's t mean and variance
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unidstat
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Discrete uniform mean and variance
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unifstat
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Continuous uniform mean and variance
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weibstat
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Weibull mean and variance
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