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Using Copulas to Model and Simulate Two‐dimensional Warranty Data
Author(s) -
Anderson Boyd,
Chukova Stefanka,
Hirose Yuichi
Publication year - 2017
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.2043
Subject(s) - warranty , automotive industry , parametric statistics , parametric model , computer science , task (project management) , copula (linguistics) , quality (philosophy) , data mining , reliability engineering , econometrics , engineering , statistics , mathematics , philosophy , systems engineering , epistemology , aerospace engineering , political science , law
This study focuses on the simulation of automotive warranty data, using a two‐dimensional (2D) parametric approach based on copulas. We start with the description of a real automotive warranty database and follow it through to the building of 2D parametric model for warranty prediction. The task of parameter fitting and measuring the quality of the fit is also addressed. The accuracy of the model proposed is compared with previously published non‐parametric models. Finally, using this 2D parametric model, data are generated and compared with the original data. Copyright © 2016 John Wiley & Sons, Ltd.