A random variable is one whose value is unknown or a function that assigns values to each of an experiment’s outcomes. A random variable can be discrete or continuous.

You can use the RAND () function to establish probability and create a random variable with normal distribution.

The hybrid model (HM) was developed by combining two models, Radial basis function neural networks (RBFNN) and Random forest (RF) to achieve high accuracy and efficiency.

Based on the variable-structure Copula function, Wang et al. (2020) proposed a novel method to describe the correlation and complementarity of distributed wind power and load for optimizing the ...

All variables on service characteristics were included in the same model in order to evaluate the combined explanatory power. The explained variance of the labour-years of mental health nurses and ...

Market Segmentation Variables & Characteristics. Market segmentation is the process of breaking your total target audience into separate groups of customers with similar traits or interests.

We derive the characteristic function (CF) for two product distributions—first for the product of two Gaussian random variables (RVs), where one has zero mean and unity variance, and the other has ...

We derive the characteristic function (CF) for two product distributions—first for the product of two Gaussian random variables (RVs), where one has zero mean and unity variance, and the other has ...