Principal component analysis is simply a variable reduction
procedure that typically results in a relatively small number of components that account for most of the variance in a set of observed variables.
In Chapter 2, the authors introduce simple and multiple regression, data transformations, multicollinearity and ridge regression, and independent variable reduction
using principal components analysis.
After standard variable reduction
procedures (see below), we used these metrics to develop and rank a priori and post hoc models to determine which landscape characteristics may be useful in predicting gray fox relative abundance at the county level.
With KXEN technology, Equifax can quickly analyse data and conduct efficient data mining and variable reduction
The differential D, thanks to its kinematical scheme, has a variable reduction
Less power consumption, lower transmitting powerWith state-of-the-art switched-mode power supplies, the new Gigaset phones save energy and permit variable reduction
of the transmitting power -- by up to 100 percent in idle or recharging mode.
Biosolids treatment provides variable reduction
of pathogen concentrations.
Providing a range of support services to credit card issuers, including loss prevention and business intelligence, the Sioux Falls, South Dakota firm has speeded up by as much as four times its analytical model building and variable reduction
The differential D, thanks to its kinematic scheme, has a variable reduction
0 offers users industry-leading features and functionality in Area of Interest (AOI) definition, visualization, scripting and automation, variable reduction
techniques, predictive modeling, and overall performance.
KXEN's minimal data preparation requirements and abilities in rapid variable reduction
are unparalleled and provide a great benefit in model turnaround.
It offers unique features that include: variable reduction
, model selection, model pro-forma, model metadata and a documentation library.