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Nonparametric Statistics: A Strange Name

In: Statistical Analysis of Empirical Data

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  • Scott Pardo

    (Ascensia Diabetes Care, Global Medical & Clinical Affairs)

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.

Suggested Citation

  • Scott Pardo, 2020. "Nonparametric Statistics: A Strange Name," Springer Books, in: Statistical Analysis of Empirical Data, chapter 0, pages 181-195, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-43328-4_14
    DOI: 10.1007/978-3-030-43328-4_14
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