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.
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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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