Search results with tag "The outliers"
INDIAN AIR QUALITY PREDICTION AND ANALYSIS USING …
www.ripublication.comin order to remove the outliers. B.PRE-PROCESSING THE DATA In this dataset the outliers are mainly of faulty sensor or transmission errors, these errors have huge variation than the normal valid results. We know the standard range of pollutants occurs on a particular areaso to remove the outliers from the data we use boundary value analysis.
Chapter 335 Ridge Regression
ncss-wpengine.netdna-ssl.comOutliers. Extreme values or outliers in the X-space can cause multicollinearity as well as hide it. We call this outlier-induced multicollinearity. This should be corrected by removing the outliers before ridge regression is applied. Detection of Multicollinearity There are several methods of detecting multicollinearity. We mention a few. 1.
Process Average Testing (PAT) , Statistical Yield Analysis ...
www.issi.comThe lot of parts being tested must be held in a manner that allows the outliers to be removed after the test limits for the lot have been calculated and applied. 4.) Application on electrical tests Any electrical parameter with a Cpk greater than 2.0 (CPK = 2.0 = 6σ) is considered a candidate for implementation.