Stepwise regression

Known as: Regression, UFS, Unsupervised Forward Selection 
In statistics, stepwise regression includes regression models in which the choice of predictive variables is carried out by an automatic procedure… (More)
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Topic mentions per year

Topic mentions per year

1953-2018
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Papers overview

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2014
2014
Researchers typically pay greater attention to scientific papers published within the last 2 years, and especially papers that… (More)
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Highly Cited
2008
Highly Cited
2008
The main problem in many model-building situations is to choose from a large set of covariates those that should be included in… (More)
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2008
2008
Knowledge evaluation is the foundation of knowledge reuse. This paper is aimed at solving the problem of knowledge evaluation in… (More)
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2006
2006
SVM (support vector machine) is an important tool of solving the nonlinear problem. This paper introduces the methods of… (More)
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2005
2005
The ability to locate disturbances in semiconductor manufacturing processes is critical to developing and maintaining a high… (More)
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Highly Cited
2004
Highly Cited
2004
We consider the problem of selecting grouped variables (factors) for accurate prediction in regression. Such a problem arises… (More)
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Highly Cited
2003
Highly Cited
2003
The purpose of model selection algorithms such as All Subsets, Forward Selection and Backward Elimination is to choose a linear… (More)
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Highly Cited
2003
Highly Cited
2003
It is common in econometric applications that several hypothesis tests are carried out at the same time. The problem then becomes… (More)
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Highly Cited
1977
Highly Cited
1977
The inductive assertion method is generalized to permit formal, machine-verifiable proofs of correctness for multiprocess… (More)
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Highly Cited
1971
Highly Cited
1971
Program Development by Stepwise Refinement Niklaus Wirth EidgeniSssische Technische Hochschule Ziirich, Switzerland The creative… (More)
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