SAGE Research Methods - Encyclopedia of Epidemiology

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Nonparametric Statistics

By: Marjorie A. Pett
In: Encyclopedia of Epidemiology
Edited by: Sarah Boslaugh

Some of the most popular statistical inferential techniques in epidemiological research are those that focus on specific parameters of the population such as the mean and variance. These parametric statistics share a number of common assumptions:

There is independence of observations except ...

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  Pett, M. (2008). Nonparametric statistics. In S. Boslaugh (Ed.), Encyclopedia of epidemiology (pp. 738-743). SAGE Publications, Inc., https://dx.doi.org/10.4135/9781412953948.n321
  
  Pett, Marjorie A. "Nonparametric Statistics." In Encyclopedia of Epidemiology, edited by Boslaugh, Sarah, 738-43. Thousand Oaks, CA: SAGE Publications, Inc., 2008. https://dx.doi.org/10.4135/9781412953948.n321.
  
  Pett, M. 2008. Nonparametric Statistics. In: Sarah Boslaugh Editor, 2008. Encyclopedia of Epidemiology, Thousand Oaks, CA: SAGE Publications, Inc. pp. 738-743 Available at: <https://dx.doi.org/10.4135/9781412953948.n321> [Accessed 1 Jul 2022].
  
  Pett, Marjorie A. "Nonparametric Statistics." Encyclopedia of Epidemiology. Edited by Sarah Boslaugh. Thousand Oaks: SAGE Publications, Inc., 2008, pp. 738-43. SAGE Research Methods. 1 Jul 2022, doi: https://dx.doi.org/10.4135/9781412953948.n321.
  
  Pett, Marjorie A. (2008). Nonparametric statistics In: Boslaugh, Sarah (Ed.),Nonparametric statistics Encyclopedia of epidemiology Thousand Oaks, CA: SAGE Publications, Inc.; 2008:738-743. doi:10.4135/9781412953948.n321
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