A common distinction made with reference to statistical tests/procedures is the classification of a procedure as parametric versus nonparametric. This distinction is generally predicated on the number and severity of assumptions regarding the population that underlies a specific test. Although some sources use the term assumption free (as well as distribution free) in reference to nonparametric tests, the latter label is misleading, in that nonparametric tests are not typically assumption free.

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Parametric Versus Nonparametric Tests

  • David J. Sheskin

摘要

A common distinction made with reference to statistical tests/procedures is the classification of a procedure as parametric versus nonparametric. This distinction is generally predicated on the number and severity of assumptions regarding the population that underlies a specific test. Although some sources use the term assumption free (as well as distribution free) in reference to nonparametric tests, the latter label is misleading, in that nonparametric tests are not typically assumption free.