Abstract
Statistical methods all have assumptions about the data-generating process. Many of these assumptions concern the probability distribution of the population from which the sample was drawn. Typically the assumptions require a “parametric” form, namely that the population’s distribution relies on a small number of parameters, such as mean and standard deviation. Nonparametric methods attempt to provide a vehicle for inference that is free of such parametric assumptions.
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Pardo, S. (2020). Nonparametric Statistics: A Strange Name. In: Statistical Analysis of Empirical Data. Springer, Cham. https://doi.org/10.1007/978-3-030-43328-4_14
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DOI: https://doi.org/10.1007/978-3-030-43328-4_14
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