Non-Parametric Statistics
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Beschreibung
High Quality Content by WIKIPEDIA articles! In statistics, the term non-parametric statistics covers a range of topics: distribution free methods which do not rely on assumptions that the data are drawn from a given probability distribution. As such it is the opposite of parametric statistics. It includes non-parametric statistical models, inference and statistical tests. non-parametric statistic can refer to a statistic (a function on a sample) whose interpretation does not depend on the population fitting any parametrized distributions. Statistics cased on the ranks of observations are one example of such statistics and these play a central role in many non-parametric approaches. non-parametric regression refers to modelling where the structure of the relationship between variables is treated non-parametrically, but where nevertheless there may be parametric assumptions about the distribution of model residuals.
Eigenschaften
Breite: | 150 |
Gewicht: | 180 g |
Höhe: | 220 |
Länge: | 6 |
Seiten: | 108 |
Sprachen: | Englisch |
Autor: | Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken |
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