{"title":"New Reliability Prediction Methodology Incorporates Field and Test Experience","authors":"D. Nicholls","doi":"10.17764/JIET.50.2.MT67R8G885347162","DOIUrl":null,"url":null,"abstract":"A reliability prediction methodology is now available that addresses shortcomings in earlier models and provides for the incorporation of field and test data through Bayesian analysis techniques.","PeriodicalId":35935,"journal":{"name":"Journal of the IEST","volume":"50 1","pages":"5-13"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the IEST","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17764/JIET.50.2.MT67R8G885347162","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 4
Abstract
A reliability prediction methodology is now available that addresses shortcomings in earlier models and provides for the incorporation of field and test data through Bayesian analysis techniques.
期刊介绍:
The Journal of the IEST is an official publication of the Institute of Environmental Sciences and Technology and is of archival quality and noncommercial in nature. It was established to advance knowledge through technical articles selected by peer review, and has been published for over 50 years as a benefit to IEST members and the technical community at large as as a permanent record of progress in the science and technology of the environmental sciences