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参数统计分布
在几乎所有使用概率和统计的领域中，有少许参数分布系列是知名的好模型. 起源可能来自于诸如瓮模型中的组合参数，到现有分布的变换，或不同的极限处理. Mathematica 中参数模型的收集是为了给不同领域提供完整的模型框架，它是至今收集最广的参数分布. 有数十个分布属性，例如，分布函数、矩或分位数，是可以直接访问的. 参数分布被用作从数据中计算概率、期望、随机变量或参数估计的高层函数的参数. 整个过程均可使用带有未定参数的分布，稍后可以求解参数或进行优化等.
精选实例 |
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Analyze Energy Production from a Wind Turbine
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Choose Parametric Tests or Their Nonparametric Counterparts
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Compare Nonparametric and Parametric Reliability Models
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Compute a Complex Probability
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Find Operational Rules for a Data Center
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Fit Word Length Data to Distributions
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Improve the Manufacturing of LCD Displays
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Model Word Lengths by Binomial Distributions
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Perform Affine Transformations on a Normal Distribution
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Perform an Edgeworth Expansion to Approximate a Distribution
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Perform Tests of Location and Scale Simultaneously on Multiple Datasets
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Test for Goodness of Fit to Any Distribution or Dataset
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Use a Logistic Distribution to Simulate Fractional Change
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Use Different Copula Kernels
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Visualize Distribution Functions for a Fitted Multivariate Distribution
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Visualize Optimal Parameter Values
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Visualize the Projected Lifetime of a Component
