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X is defined as a random variable which is uniformly distributed over (0, 1). In other form, it will be written like X~Unif(0,1).
In the other side Y is a new random variable which is defined as a function of X. That Y=-ln(X).
After that, estimate and plot the probability density function of Y. Find an analytical model that seems to fit estimated PDF.
Cite As
Mahmoud Aldababsa (2026). Estimation of probability density function (https://au.mathworks.com/matlabcentral/fileexchange/53798-estimation-of-probability-density-function), MATLAB Central File Exchange. Retrieved .
Categories
Find more on Probability Distributions and Hypothesis Tests in Help Center and MATLAB Answers
General Information
- Version 1.0 (1.24 KB)
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- Compatible with any release
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- Windows
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| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0 |
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