Supported Distributions
统计和机器学习工具箱™ supports various probability distributions, including parametric, nonparametric, continuous, and discrete distributions. The following tables list the supported probability distributions and supported ways to work with each distribution. For more information, seeWorking with Probability Distributions.
For a custom probability distribution, use a custom distribution template to create a probability object and then use the Distribution Fitter app or probability object functions. For details, seeDefine Custom Distributions Using the Distribution Fitter App. You can also define a custom distribution using a function handle and use themle
function to find maximum likelihood estimates. For an example, seeFit Custom Distributions.
连续分布(数据)
连续分布(统计)
Discrete Distributions
Multivariate Distributions
Distribution | Distribution Object | Distribution-Specific Functions |
---|---|---|
Copula(Gaussian copula,tCopula,Clayton Copula,Frank Copula,Gumbel Copula) | — | copulapdf copulacdf copulaparam copulastat copulafit copularnd |
Gaussian Mixture | gmdistribution |
fitgmdist pdf cdf random |
倒数的怀疑 | — | iwishrnd |
Multivariate normal | — | mvnpdf mvncdf mvnrnd |
Multivariatet | — | mvtpdf mvtcdf mvtrnd |
Wishart | — | 愿望 |
非参数分布
Distribution | Distribution Objects | Apps and Interactive UIs | Distribution-Specific Functions |
---|---|---|---|
Kernel | kerneldistribution |
Distribution Fitter | ksdensity |
Pareto tails | paretotails |
— | — |
Flexible Distribution Families
Distribution | Distribution-Specific Functions |
---|---|
Pearson system | 梨子 |
约翰逊系统 | johnsrnd |