A Bayesian Estimate of Vehicle Safety Performance

Autor:	J. Prybylski, L. Gu, Joe E. Abramczyk, Guosong Li
Rok vydání:	2005
Předmět:	Engineering Government Bayes estimator Operations research business.industry Prediction methods Statistics Vehicle safety Small sample business Motor vehicle crash Test (assessment)
Zdroj:	SAE Technical Paper Series.
ISSN:	0148-7191
DOI:	10.4271/2005-01-0822
Popis:	This paper describes the development of a Bayesian estimate of vehicle safety performance. The vehicle crash testing is conducted often using a very small sample size. With these limited tests, one often has to face the following question, "what is the confidence to meet the design target or government compliance in a subsequent test?" The prediction methods will be discussed to determine the confidence in meeting overall the design requirements based on successful test results with multiple responses and design targets.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a95b298988f0b4de4ac0c1021b83ef26 https://doi.org/10.4271/2005-01-0822 Zobrazit plný text záznamu