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SOLUTIONS
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MATHEMATICA 指南
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函数
- AbsoluteCorrelation
- BinCounts
- BlomqvistBeta
- BoxWhiskerChart
- CDF
- CentralMoment
- CharacteristicFunction
- Commonest
- ContraharmonicMean
- Correlation
- Covariance
- Cumulant
- Entropy
- Expectation
- FactorialMoment
- GeometricMean
- GoodmanKruskalGamma
- HarmonicMean
- Histogram
- Histogram3D
- HoeffdingD
- InterquartileRange
- InverseCDF
- KendallTau
- Kurtosis
- Mean
- MeanDeviation
- Median
- MedianDeviation
- Moment
- PillaiTrace
- Probability
- Quantile
- QuantilePlot
- QuartileDeviation
- Quartiles
- QuartileSkewness
- RankedMin
- RootMeanSquare
- Skewness
- SpearmanRho
- StandardDeviation
- TrimmedMean
- Variance
- WilksW
- 相关指南
- 教程
描述性统计分析
Mathematica 中描述性统计函数，不仅可以应用于具体的数据上，还可以用于统计分布的符号表达式中. 当应用于具体数据上时，函数通常要处理大量数据集 —— 其中不仅包括数值还包含符号元素，例如：参数或未知数据.
参考资料参考资料
定位测量
Mean ▪ Median ▪ Commonest ▪ RootMeanSquare ▪ TrimmedMean ▪ HarmonicMean ▪ GeometricMean ▪ ContraharmonicMean
分散测量
Variance ▪ StandardDeviation ▪ MeanDeviation ▪ MedianDeviation ▪ QuartileDeviation ▪ InterquartileRange
形状测量
Skewness ▪ Kurtosis ▪ QuartileSkewness ▪ Entropy
关系测量
Covariance ▪ Correlation ▪ AbsoluteCorrelation ▪ SpearmanRho ▪ KendallTau ▪ HoeffdingD ▪ GoodmanKruskalGamma ▪ BlomqvistBeta ▪ WilksW ▪ PillaiTrace
普通测量
Moment ▪ CentralMoment ▪ FactorialMoment ▪ Cumulant
Quantile ▪ Quartiles ▪ RankedMin ▪ Expectation ▪ Probability ▪ BinCounts
分布的符号特性
CDF ▪ PDF ▪ InverseCDF ▪ CharacteristicFunction
多变量测量
统计可视化 »
Histogram ▪ Histogram3D ▪ QuantilePlot ▪ BoxWhiskerChart ▪ ...
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