This paper presents a probability density function formula for predicting the polarization dependent loss (PDL) in an optical transmission system composed of passive devices and connecting fibers. A ...

Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric ...

A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

Placing a prefix for the distribution function changes it's behavior in the following ways: dxxx (x,) returns the density or the value on the y-axis of a probability distribution for a discrete value ...

An analytical derivation of the EMG signal’s amplitude probability density function (EMG PDF) is presented and used to study how an EMG signal builds-up, or fills, as the degree of muscle contraction ...

About Probability Distribution Functions is a Python package to help plot, calculate distributions of data using different probability distribution types and formulas.

The cumulative probability distribution of negative flashes is closer to that of total flashes and is significantly different from that of positive flashes. In order to get a more suitable cumulative ...