Non-Parametric Statistics
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- 2010, 108 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Herausgeber: Marseken, Susan F., Surhone, Lambert M., Timpledon, Miriam T.
- Verlag: Betascript Publishing
- ISBN-10: 6130332351
- ISBN-13: 9786130332358
Sprache:
Englisch
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