Kernel Distribution

A kernel distribution is a nonparametric representation of the probability density function of a random variable.

Nonparametric and Empirical Probability Distributions

Estimate a probability density function or a cumulative distribution function from sample data.

Fit Kernel Distribution Object to Data

This example shows how to fit a kernel probability distribution object to sample data.

Fit Kernel Distribution Using ksdensity

This example shows how to generate a kernel probability density estimate from sample data using the ksdensity function.

Fit Distributions to Grouped Data Using ksdensity

This example shows how to fit kernel distributions to grouped sample data using the ksdensity function.