Comparison of Some Variable Selection Techniques in Regression Analysis
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چکیده
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comparison of the amount of debris extruded apically in two rotary techniques: flexmaster and m2
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15 صفحه اولVariable Selection in ROC Regression
Regression models are introduced into the receiver operating characteristic (ROC) analysis to accommodate effects of covariates, such as genes. If many covariates are available, the variable selection issue arises. The traditional induced methodology separately models outcomes of diseased and nondiseased groups; thus, separate application of variable selections to two models will bring barriers...
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After its inception in Koenker and Bassett (1978), quantile regression has become an important and widely used technique to study the whole conditional distribution of a response variable and grown into an important tool of applied statistics over the last three decades. In this work, we focus on the variable selection aspect of penalized quantile regression. Under some mild conditions, we demo...
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Selecting new and more predictive variables is fundamental for scorecards to perform well. This study makes use of a very large set of credit scoring data and investigates the application of several variable selection techniques for scorecard development. Among the four different techniques used, stepwise regression, which is currently the most popular technique used in practice, was found to p...
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Regression testing is a necessary but expensive maintenance activity aimed at showing that code has not been adversely a ected by changes. A selective approach to regression testing reuses tests from an existing test suite to test a modi ed program. Many selective retest strategies have been proposed. However, it is di cult to compare and evaluate these strategies, because they are based on di ...
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ژورنال
عنوان ژورنال: American Journal of Biomedical Science & Research
سال: 2019
ISSN: 2642-1747
DOI: 10.34297/ajbsr.2019.06.001044