The tool allows identifying the distribution based on the available data sample. It contains a library of 30 statistical distributions, allowing the identification of distribution parameters, calculation of model error (RMSE, Correlation, LogLikelihood, RSquared) as well as calculation of selected characteristics (Skewness, Kurtosis, Entropy, Variance, ...).
引用格式
Peter Krammer (2024). Tool for Identification of Statistical Distribution (https://www.mathworks.com/matlabcentral/fileexchange/166446-tool-for-identification-of-statistical-distribution), MATLAB Central File Exchange. 检索时间: .
Krammer, Habala, Stano, Hluchy: Fine-tuning the High-Voltage Tower Pollution Model Using Distribution Identification, SISY 2024 conference.
MATLAB 版本兼容性
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R2022b
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1.0.0 |