Learn to choose coordinate systems, visualize multivariable functions, and parameterize curves. You can use these live scripts as demonstrations in lectures, class activities, or interactive ...

During the Oxford Conference of the Econometric Society in 1936, Ragnar Frisch proposed a problem of characterization of distributions based on the property of linear regression of one linear function ...

This is a preview. Log in through your library . Abstract ABSTRACT A unified turbulence and cloud parameterization based on multivariate probability density functions (PDFs) has been incorporated into ...

This toolkit is a Python-based library designed to help computations in multivariable calculus. It provides classes and methods for differentiating expressions, computing gradients, finding unit ...

Abstract: Far function difference approximation is one of the most active research contents in function approximation theory at present. Compared with unary function approximation, there are many ...

Abstract: A method of generating a multivariable positive real function (MPRF) from the given multivariable real part is presented. The constraints on the given real part, in addition to its ...

Slope and marginal values have basically the same interpretation in multivariate problems as they do in uinivariate problems. One of the benefits of multivariate processes is that economists can get a ...

In multivariable adjusted model, no association seen for impaired kidney function with increased hazard of dementia compared with preserved kidney function.