Anderson-Darling Goodness Of Fit Test to Inverse Gaussian Distbtn
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This program is based on the method published by O'Reilly & Rueda (see program for more details for reference). Confidence level (i.e. alpha value) is chosen,and if the number of AD test stats > critical value exceeds alpha, H0 is rejected.
The program requires 3 input files:
2 of these files are needed to compute the critical values for the AD test: the third input file is the user's data file.
This program also calls a number of subrs provided.
Cite As
Matthew Brenneman (2026). Anderson-Darling Goodness Of Fit Test to Inverse Gaussian Distbtn (https://www.mathworks.com/matlabcentral/fileexchange/24036-anderson-darling-goodness-of-fit-test-to-inverse-gaussian-distbtn), MATLAB Central File Exchange. Retrieved .
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- AI and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions and Hypothesis Tests > Hypothesis Tests >
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 |
