Abstract
A nonparametric test is one for which the stated type I error rate holds no matter what distribution may underlie the observations. Nonparametric tests are thus broadly applicable and valid for testÂing, relying only on the assumption of random sampling, and generÂally requiring only simple calculation. The sign test is the simplest example of this class of procedures.
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© 1990 Springer-Verlag New York, Inc.
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Finkelstein, M.O., Levin, B. (1990). Nonparametric Methods. In: Statistics for Lawyers. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3328-2_11
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DOI: https://doi.org/10.1007/978-1-4612-3328-2_11
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-97140-7
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