Transforming a random variable to a prescribed distribution: An application to school-based assessment

Timothy C. Brown*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    When can one find a smooth transformation of a random variable so that the transformed random variable has a specified distribution? If the random variable is continuous, the solution is elementary; if it is discrete, it may be impossible. In this paper, a simple method is given of transforming a random variable in a smooth way to match a specified number of quantiles of an arbitrary distribution. The problem arose from a request for a simple way of transforming marks given in school assessment so that the distribution of transformed marks matches the distribution of external assessment.

    Original languageEnglish
    Pages (from-to)239-252
    Number of pages14
    JournalJournal of Applied Probability
    Volume41A
    DOIs
    Publication statusPublished - 2004

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