Abstract: Fuzzy regression methods have commonly been used to develop consumer preferences models, which correlate the engineering characteristics with consumer preferences regarding a new product; ...

Regression explains how changes in one factor influence another with clarity. Each regression type is suited for different data patterns and problems. Regression remains fast, reliable, and widely ...

Abstract: Prony analysis has been applied to estimate inter-area oscillation modes using phasor measurement unit (PMU) measurements. To suppress noise and signal offset effects, a high-order Prony ...

The computational technique conventionally used for stepwise multiple linear regression requires the storage of an n × n matrix of data. When the number of variables, n, is large, this requirement ...

If I am not mistaken, in earlier JASP versions multiple linear regression was possible with a combination of numeric variables and (categorical) factors. In v 0.18.3 (and some earlier as well) the ...

ABSTRACT: This study first considered using 5 dimensions/variables of color readings (including blue, green, saturation, red, hue) to predict the concentration of matter. The procedure was ...

This paper critically examines ‘kitchen sink regression’, a practice characterised by the manual or automated selection of variables for a multivariable regression model based on p values or ...

The goal of these examples is to analyse the given datasets to determine whether some models can be established for purposes of prediction, to assess how stepwise prediction behaves with respect to a ...