A linear relationship (or linear association) is a statistical term used to describe the directly proportional relationship between a variable and a constant.

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Displaying discrete random variables Probability distributions are used to organise and display the outcomes and probabilities of discrete random variables. This makes it easier to see all possible ...

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.

The paper examines the nature of the latent random variables which occur in linear structural models, under the assumption that they are independent. It is shown that alternative representations with ...

The use of Linear Complementarity Problems (LCP) is a powerful method for modeling switched systems, particularly in the context of power electronic circuits.

At the cost of more computations, the new methodology guarantees performance better than the linear/Gaussian approach for nonlinear systems. This work employs monomial basis functions and Taylor ...

This work considers the notion of random tensors and reviews some fundamental concepts in statistics when applied to a tensor based data or signal. In several engineering fields such as Communications ...

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

In many applications of generalized linear mixed models (GLMMs), there is a hierarchical structure in the effects that needs to be taken into account when performing variable selection.