Comparing Distribution Fitting: Normal, Exponential, Gamma

版本 1.0.0 (1.6 KB) 作者: Mrutyunjaya Hiremath

Utilizing MATLAB's Statistics and Machine Learning Toolbox for fitting normal, exponential, and gamma distributions to a dataset

关注

0.0

(0)

15.0 次下载

更新时间 2023/8/7

查看许可证

In this analysis, the goal is to assess the appropriateness of fitting three distinct probability distributions – normal, exponential, and gamma – to a specific dataset. The primary objective is to determine which of these distributions offers the most accurate representation of the data's underlying characteristics. To accomplish this, cumulative distribution function (CDF) values are computed for each of the fitted distributions using the `normcdf`, `expcdf`, and `gamcdf` functions available in MATLAB. By quantifying how closely the CDF values of the fitted distributions align with the actual dataset, the effectiveness of each distribution in modeling the data can be evaluated. This comparison aids in the selection of the distribution that best captures the dataset's nature and provides insights into its behavior.

引用格式

Mrutyunjaya Hiremath (2024). Comparing Distribution Fitting: Normal, Exponential, Gamma (https://www.mathworks.com/matlabcentral/fileexchange/133412-comparing-distribution-fitting-normal-exponential-gamma), MATLAB Central File Exchange. 检索来源 2024/10/3.