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Non-Parametric Statistics
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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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786130332358
- Editor Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken
- Sprache Englisch
- Größe H6mm x B220mm x T150mm
- Jahr 2010
- EAN 9786130332358
- Format Fachbuch
- ISBN 978-613-0-33235-8
- Titel Non-Parametric Statistics
- Untertitel Statistics, Probability Distribution, Statistical Model, Statistical Inference, Ranking, Level of Measurement, Kernel Density Estimation, Nonparametric Regression
- Gewicht 161g
- Herausgeber Betascript Publishers
- Anzahl Seiten 108
- Genre Mathematik
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