I wrote a function called linearModelFit to fit a linear model. The functiona takes as its first argument a 2d-array x which houses the input data with one example per row, as its secod argument a ...

A linear model is a function that has a constant rate of change, meaning that the output changes by the same amount for any given change in the input. For example, y = 2x + 5 is a linear model ...

Abstract: In this paper, a tutorial introduction to the magnitude squared (MS) coherence function, and its relation to linear modeling, is interleaved with new methods for characterizing bidirectional ...

Today's practicing engineers need to be acquainted with the input-output, block-diagram, transfer-function dynamic ... Here, we discuss the linear graph, which stresses the concepts of continuity and ...

All references mentioned in Class 2 use linear goal programming (GP ... The EGP achievement function requires one extra model parameter (λ), which weighs the importance attached to minimizing ...

The Working Code folder contains the most current version of the package code/functions, however it is not in an R package format. It is meant to be a beta version for the next package release.

A recommended but underutilized method for modeling non-linear associations in regression models is spline functions. We explain spline functions in a non-mathematical way and illustrate the ...

Such User-Defined Functions are addition to the system UDF MAOPCs, which is designed for modeling, multivariate analysis and optimization of linear periodically-time variable circuits in the frequency ...