Nonparametric statistics
Nonparametric statistics is the branch of statistics that is not based solely on parametrized families of probability distributions (common examples of parameters are the mean and variance). Nonparametric statistics is based on either being distribution-free or having a specified distribution but with the distribution's parameters unspecified. Nonparametric statistics includes both descriptive statistics and statistical inference. Nonparametric tests are often used when the assumptions of parametric tests are violated.
Nonparametric statistics - Wikipedia Jump to content From Wikipedia, the free encyclopedia Type of statistical analysis Nonparametric statistics is a type of statistical analysis that makes minimal assumptions about the underlying distribution of the data being studied. Often these models are infinite-dimensional, rather than finite dimensional, as in parametric statistics . [ 1 ] Nonparametric statistics can be used for descriptive statistics or statistical inference . Nonparametric tests are often used when the assumptions of parametric tests are evidently violated. [ 2 ] Def
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