Non-Parametric Statistics

Non-Parametric Statistics

Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken

     

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Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-6-1303-3235-8
Объём: 108 страниц
Масса: 184 г
Размеры(В x Ш x Т), см: 23 x 16 x 1

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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