Main Content

Pearson Distribution

Evaluate Pearson distribution probability functions and generate random samples

Statistics and Machine Learning Toolbox™ offers two ways to work with the Pearson distribution:

  • Use distribution-specific functions (pearspdf, pearscdf, pearsrnd) with specified distribution parameters. The distribution-specific functions can accept parameters from multiple Pearson distributions.

  • Use generic distribution functions (cdf, pdf, random) with the distribution name "Pearson" and specified distribution parameters.

To learn about the Pearson distribution, see Pearson Distribution.


pearspdfPearson probability density function (Since R2023b)
pearscdfPearson cumulative distribution function (Since R2023b)
pearsrndPearson system random numbers
pdfProbability density function
cdfCumulative distribution function
randomRandom numbers