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对样本数据进行概率分布拟合,计算 pdf 和 cdf 等概率函数,计算均值和中值等汇总统计量,可视化样本数据,生成随机数等。使用概率分布对象、命令行函数或交互式 App 来处理概率分布。有关每个选项的详细信息,请参阅Working with Probability Distributions。
执行曲线拟合和分布拟合,并了解每种方法适用的情况。
此示例说明当变量之间存在复杂关系时,或者当各个变量来自不同分布时,如何使用 copula 从多元分布中生成数据。
Fit univariate distributions using least squares estimates of the cumulative distribution functions. This is a generally-applicable method that can be useful in cases when maximum likelihood fails, for instance some models that include a threshold parameter.
Use the Statistics and Machine Learning Toolbox™ function mle to fit custom distributions to univariate data.
mle
Use some more advanced techniques with the Statistics and Machine Learning Toolbox™ function mle to fit custom distributions to univariate data. The techniques include fitting models to censored data, and illustration of some of the numerical details of fitting with custom distributions.
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