Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

A polynomial expansion to probability density function (pdf) approximation about Gaussian mixture densities is proposed in this paper. Using known polynomial series expansions we apply the Parzen ...

Probability Density Function Calculating probabilities for continuous random variables requires a different approach from the methods used with discrete variables. If all the outcomes of a continuous ...

ConventionaL load forecasting involves the prediction of the mean value of the demand of an electric power system. The mean value of a quantity which is subject to uncertainty does not fully ...

The focus is on the scale and shape factors, which are evaluated by mapping monthly mean wind speeds into a Weibull probability distribution function. Due to the imprecise nature of these factors, ...

Representation: Typically represented using a joint probability density function (pdf), which describes the likelihood of the random variables falling within a particular range of values.

The data-generating process of some phenomenon will typically dictate its probability distribution. This process is referred to as the probability density function.

This study investigates the changes in the drought frequency in 2070–2099 relative to 1970–1999, due to the mean and shape changes of the probability density function (PDF) of the self-calibrated ...