@inproceedings{0e571b73b70d4dc484bde730cb956430,
title = "Notice of Retraction: Outlier test and analysis method of degradation data based on linear regression",
abstract = "Under the assumption that the degradation data obey the same path model form, a degradation outlier test method based on path model is presented in this paper. Through testing whether the model parameters are equal for two groups of degradation data, the abnormal data can be distinguished. The critical regions are given based on Chow test. Furthermore, a new analysis method of abnormal degradation data is proposed. It can examine the differences in model intercepts and slopes of degradation data, and determine whether the degradation abnormity is caused by the differences in intercepts or slopes or both. The presented methods are available for degradation data point and segment, and provide a scientific gist for the judgment and correction of abnormal data. Finally, an example is given to verify these methods.",
keywords = "chow test, degradation, degradation path, linear regression, outlier test",
author = "Zhang, \{Hui Rui\} and Chen, \{Yun Xia\} and Rui Kang and Lin, \{Feng Chun\}",
year = "2013",
doi = "10.1109/QR2MSE.2013.6625703",
language = "英语",
isbn = "9781479910144",
series = "QR2MSE 2013 - Proceedings of 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering",
publisher = "IEEE Computer Society",
pages = "854--858",
booktitle = "QR2MSE 2013 - Proceedings of 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering",
address = "美国",
note = "2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2013 ; Conference date: 15-07-2013 Through 18-07-2013",
}