Statistical Tests to Validate Predictive Models | Zendy

Hamada M. S. | Zendy; Abes J. I. | Zendy

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Statistical Tests to Validate Predictive Models

Author(s) -

Hamada M. S.,

Abes J. I.

Publication year - 2015

Publication title -

quality and reliability engineering international

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.913

H-Index - 62

eISSN - 1099-1638

pISSN - 0748-8017

DOI - 10.1002/qre.1715

Subject(s) - replicate , predictive power , model validation , computer science , statistical hypothesis testing , validation test , predictive modelling , test (biology) , statistics , reliability engineering , data mining , engineering , machine learning , mathematics , test validity , psychometrics , philosophy , data science , epistemology , paleontology , biology

This article presents validation tests to check a predictive model over time. These validation tests are like individuals,X ̄ and S control charts. The individuals validation test is used when there are no replicates at the checked time points. TheX ̄ and S validation tests can be used when there are replicates. Their power is evaluated under various scenarios via a simulation study. Based on these results, theX ̄ and S validation tests are recommended when there are replicate measurements. Copyright © 2014 John Wiley & Sons, Ltd.

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