26.5 Distributions

Octave has functions for computing the Probability Density Function (PDF), the Cumulative Distribution function (CDF), and the quantile (the inverse of the CDF) for arbitrary user-defined distributions (discrete) and for experimental data (empirical).

The following table summarizes the supported distributions (in alphabetical order).

discrete_pdf (가로, v, p)

For each element of 가로, compute the probability density function (PDF) at 가로 of a univariate discrete distribution which assumes the values in v with probabilities p.

discrete_cdf (가로, v, p)

For each element of 가로, compute the cumulative distribution function (CDF) at 가로 of a univariate discrete distribution which assumes the values in v with probabilities p.

discrete_inv (가로, v, p)

For each element of 가로, compute the quantile (the inverse of the CDF) at 가로 of the univariate distribution which assumes the values in v with probabilities p.

empirical_pdf (가로, 자료)

For each element of 가로, compute the probability density function (PDF) at 가로 of the empirical distribution obtained from the univariate sample 자료.

empirical_cdf (가로, 자료)

For each element of 가로, compute the cumulative distribution function (CDF) at 가로 of the empirical distribution obtained from the univariate sample 자료.

empirical_inv (가로, 자료)

For each element of 가로, compute the quantile (the inverse of the CDF) at 가로 of the empirical distribution obtained from the univariate sample 자료.