Matlab 函数分类汇总-R2011b版(4)

chi2stat copulastat evstat expstat fstat gamstat geostat gevstat gpstat hygestat lognstat nbinstat ncfstat nctstat ncx2stat normstat poisstat raylstat tstat unidstat unifstat wblstat

Chi-square mean and variance Copula rank correlation

Extreme value mean and variance Exponential mean and variance

F mean and variance Gamma mean and variance Geometric mean and variance

Generalized extreme value mean and variance Generalized Pareto mean and variance Hypergeometric mean and variance Lognormal mean and variance

Negative binomial mean and variance Noncentral F mean and variance Noncentral t mean and variance

Noncentral chi-square mean and variance Normal mean and variance Poisson mean and variance Rayleigh mean and variance Student's t mean and variance Discrete uniform mean and variance Continuous uniform mean and variance Weibull mean and variance

Distribution Fitting

Supported Distributions Piecewise Distributions Supported Distributions betafit binofit copulafit copulaparam dfittool evfit expfit

Beta parameter estimates Binomial parameter estimates Fit copula to data

Copula parameters as function of rank correlation Interactive distribution fitting Extreme value parameter estimates Exponential parameter estimates

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fit Gaussian mixture parameter estimates (gmdistribution) gamfit gevfit gpfit histfit johnsrnd lognfit mle mlecov nbinfit normfit normplot pearsrnd poissfit raylfit unifit wblfit wblplot

Gamma parameter estimates

Generalized extreme value parameter estimates Generalized Pareto parameter estimates Histogram with normal fit Johnson system random numbers Lognormal parameter estimates Maximum likelihood estimates

Asymptotic covariance of maximum likelihood estimators

Negative binomial parameter estimates Normal parameter estimates Normal probability plot Pearson system random numbers Poisson parameter estimates Rayleigh parameter estimates

Continuous uniform parameter estimates Weibull parameter estimates Weibull probability plot

Piecewise Distributions

boundary Piecewise distribution boundaries (piecewisedistribution) lowerparams (paretotails)

Lower Pareto tails parameters

nsegments Number of segments (piecewisedistribution) paretotails

Construct Pareto tails object

piecewisedistribution Create piecewise distribution object segment Segments containing values (piecewisedistribution) upperparams (paretotails)

Upper Pareto tails parameters

Negative Log-Likelihood

betalike evlike

Beta negative log-likelihood

Extreme value negative log-likelihood

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explike gamlike gevlike gplike lognlike mvregresslike normlike wbllike

Exponential negative log-likelihood Gamma negative log-likelihood

Generalized extreme value negative log-likelihood Generalized Pareto negative log-likelihood Lognormal negative log-likelihood

Negative log-likelihood for multivariate regression Normal negative log-likelihood Weibull negative log-likelihood

Random Number Generators

betarnd binornd chi2rnd copularnd datasample evrnd exprnd frnd gamrnd geornd gevrnd gprnd hygernd iwishrnd johnsrnd lhsdesign lhsnorm lognrnd mhsample mnrnd mvnrnd mvtrnd nbinrnd ncfrnd nctrnd ncx2rnd

Beta random numbers Binomial random numbers Chi-square random numbers Copula random numbers

Randomly sample from data, with or without replacement

Extreme value random numbers Exponential random numbers

F random numbers Gamma random numbers Geometric random numbers

Generalized extreme value random numbers Generalized Pareto random numbers Hypergeometric random numbers Inverse Wishart random numbers Johnson system random numbers Latin hypercube sample

Latin hypercube sample from normal distribution Lognormal random numbers Metropolis-Hastings sample Multinomial random numbers

Multivariate normal random numbers Multivariate t random numbers Negative binomial random numbers Noncentral F random numbers Noncentral t random numbers

Noncentral chi-square random numbers

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normrnd pearsrnd poissrnd randg random

Normal random numbers

Pearson system random numbers Poisson random numbers Gamma random numbers Random numbers

random (gmdistribution) Random numbers from Gaussian mixture

distribution random Random numbers from piecewise distribution (piecewisedistribution) randsample randtool raylrnd slicesample trnd unidrnd unifrnd wblrnd wishrnd

Random sample

Interactive random number generation Rayleigh random numbers Slice sampler

Student's t random numbers Discrete uniform random numbers Continuous uniform random numbers Weibull random numbers Wishart random numbers

Quasi-Random Numbers

addlistener (qrandstream) delete

(qrandstream) end (qrandset) findobj

(qrandstream) findprop

(qrandstream)

Add listener for event Delete handle object

Last index in indexing expression for point set Find objects matching specified conditions Find property of MATLAB handle object

eq (qrandstream) Test handle equality

ge (qrandstream) Greater than or equal relation for handles gt (qrandstream) Greater than relation for handles haltonset isvalid

(qrandstream)

Construct Halton quasi-random point set Test handle validity

le (qrandstream) Less than or equal relation for handles length (qrandset) Length of point set

lt (qrandstream) Less than relation for handles

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ndims (qrandset) Number of dimensions in matrix ne (qrandstream) Not equal relation for handles net (qrandset) notify

(qrandstream) qrand

(qrandstream) qrandset qrandstream reset

(qrandstream) scramble (qrandset) size (qrandset) sobolset

Generate quasi-random point set Notify listeners of event

Generate quasi-random points from stream Abstract quasi-random point set class Construct quasi-random number stream Reset state

Scramble quasi-random point set Number of dimensions in matrix

Construct Sobol quasi-random point set

rand (qrandstream) Generate quasi-random points from stream

Piecewise Distributions

boundary Piecewise distribution boundaries (piecewisedistribution) cdf Cumulative distribution function for piecewise (piecewisedistribution) distribution icdf Inverse cumulative distribution function for (piecewisedistribution) piecewise distribution lowerparams (paretotails)

Lower Pareto tails parameters

nsegments Number of segments (piecewisedistribution) paretotails

Construct Pareto tails object

pdf Probability density function for piecewise (piecewisedistribution) distribution piecewisedistribution Create piecewise distribution object random Random numbers from piecewise distribution (piecewisedistribution)

segment Segments containing values (piecewisedistribution) upperparams (paretotails)

Upper Pareto tails parameters

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