Probability Density Function (PDF) Estimator (V3.2)
This function provides an estimate of probability density function for a given random data (an 1-d vector). The estimation can be done with a specified number of intervals, and bandwidth. Without any output, the function will plot the probability density function. A few examples are included to show how to use the function and its output.
It also includes bounded support. For some problems, bounded support is important. For example, many physical problems require positive variables. This function is able to estimate PDF for such problems as well if the lower and upper bounds are specified.
The new version includes cdf and inverse cdf estimation.
Zitieren als
Yi Cao (2024). Probability Density Function (PDF) Estimator (V3.2) (https://www.mathworks.com/matlabcentral/fileexchange/19121-probability-density-function-pdf-estimator-v3-2), MATLAB Central File Exchange. Abgerufen.
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- AI and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions > Exploration and Visualization >
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Inspiriert von: PDFPLOT
Inspiriert: Update PDF Estimation, Bivariant Kernel Density Estimation (V2.1)
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Version | Veröffentlicht | Versionshinweise | |
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1.4.0.0 | Bug fix and new functionality |
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1.3.0.0 | a bug fixed |
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1.2.0.0 | update with cdf and inverse cdf estimation. |
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1.1.0.0 | update descriptions |
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1.0.0.0 | upgrade for bounded support and to include the html description. |