Fit a Gamma distribution using Method of Moments
For a given data, Gamma fit is computed using Method of Moments.
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1. Gamma distribution is characterized by two parameters: Shape and scale.
2. For a given data, we can estimate shape and scale using Maximum likelihood or Method of Moments.
3. In this code, we use Method of Moments to estimate these parameters.
4. If plotit == 1, this function plots the histogram of the data along with the fit.
5. Distributions are normalized using matlab inbuilt trapz command.
Cite As
Shruti Sathyanarayan Rao (2026). Fit a Gamma distribution using Method of Moments (https://www.mathworks.com/matlabcentral/fileexchange/71450-fit-a-gamma-distribution-using-method-of-moments), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (1.6 KB)
MATLAB Release Compatibility
- Compatible with R2006b to R2015b
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
