Abstract
Most of the statistical procedures we’ve introduced in the previous 0 chapters require an assumption about the form of a probability distribution, often the Normal distribution. When such assumptions are unjustified, the consequences of the procedure are dubious at best. In situations where distributional assumptions cannot be justified, even after a well-chosen data transformation, the analyst should consider another approach.
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Heiberger, R.M., Holland, B. (2015). Nonparametrics. In: Statistical Analysis and Data Display. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2122-5_16
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DOI: https://doi.org/10.1007/978-1-4939-2122-5_16
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