A comprehensive simulation-based evaluation of eight computational models finds that the joint location-and-scale score test ...

Most of us know this phenomenon only too well: when it's hot outside, you feel the urge for a cooling ice cream. But would you have thought that mathematics could be involved? Let us explain: The ...

Statistical models based on Gaussian random variables occupy a central position in modern data analysis, offering a mathematically tractable framework for inference, prediction and dimensionality ...

High-dimensional statistical modelling addresses settings in which the number of candidate predictors far exceeds the number of observations. Such scenarios arise routinely in genomics, neuroimaging, ...

This variable changes depending on one or several independent variables. It is also called the endogenous variable, because it demonstrates a reaction to changes in the independent (exogenous) ...

This book combines theoretical and practical applications and takes project managers through the most important quantitative methods, integrates them, and illustrates interrelationships.

In statistics, independent variables are often referred to as x-variables. This naming derives from the fact that on a Cartesian coordinate system, the independent variable is usually placed on the ...