@inproceedings{8e4599f9be374a33a00e50e6ea228de2,
title = "Small sample maintainability test data fusion method based on ML-II",
abstract = "In order to solve the problem of low reliability of assessment result due to small sample size in complex system maintainability assessment, the maximum likelihood estimate (ML-II) of the second kind is introduced for parameter estimation so as to implement fusion of a small amount of the field maintainability test information with multi-source maintainability prior information and give weighing factors of various prior information based on field test information and obtain a fused prior distribution at the end. Finally, the effectiveness and feasibility of the fusion method are explained by fusion example according to certain maintainability index parameter.",
keywords = "Bayes, data fusion, maintainability, ML-II, Small sample",
author = "Baowei Song and Zhaoyong Mao and Bochao Dong and Jianfeng Yang",
year = "2011",
doi = "10.1109/ICRMS.2011.5979382",
language = "英语",
isbn = "9781612846644",
series = "ICRMS'2011 - Safety First, Reliability Primary: Proceedings of 2011 9th International Conference on Reliability, Maintainability and Safety",
pages = "838--841",
booktitle = "ICRMS'2011 - Safety First, Reliability Primary",
note = "2011 9th International Conference on Reliability, Maintainability and Safety: Safety First, Reliability Primary, ICRMS'2011 ; Conference date: 12-06-2011 Through 15-06-2011",
}