In this paper, two kinds of compliance prediction techniques (single test compliance and population compliance) on the vehicle crash testing are discussed. For each one of the above two techniques, the confidence (C) in meeting the government mandated requirement based upon successful test results were derived with demonstrated examples. In Sections 2 and 3, the derivations of confidences are based on the assumption that the population distribution is approximately normal. Actually, exact normality is not always found in the real world. One can use a normal probability plot or a normality goodness-of-fit test to check whether the data are normally distributed. If data are not normal, one can transform the original data in such a way that the transformed data will meet the normal distribution assumption. The Box-Cox power transformation can be used to transform the original non-normal data to normal data. If the data can be transformed to be normal, then compute the confidence values by using the transformed data.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Statistical techniques for vehicle crash testing


    Contributors:
    Lu, M.W. (author) / Rudy, R.J. (author)


    Publication date :

    2004


    Size :

    10 Seiten, 2 Tabellen, 4 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Vehicle crash testing

    Macaulay, M. A. | TIBKAT | 1971