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Parametric Tests of Hypotheses

2003
In statistical data analysis an important objective is the capability of making decisions about population distributions and statistics based on samples. In order to make such decisions, a hypothesis is formulated, e.g. “is one manufacture method better than another?”, and tested using an appropriate methodology.
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Nonparametric and Parametric Tests

1991
The Wilcoxon two-sample test is one of a largeclassof tests known as nonparametric tests. Even though well-established in the statistical literature, the termnonparametricis rather unfortunate. So-called nonparametric methods can be used to test hypotheses about relevant population parameters, and, as we shall see, they furnish point estimates and ...
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Non-Parametric Tests

2000
Parametric tests require some specific conditions about the distributions of scores in the populations of interest. When these conditions cannot be formally tested, researchers assume that they exist. The interpretation of the results derived from parametric tests relies heavily on these requirements not being seriously violated. When these assumptions
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To be parametric or non‐parametric, that is the question

BJOG: An International Journal of Obstetrics & Gynaecology, 2020
Eric, Van Buren, Amy H, Herring
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Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison

ISPRS Journal of Photogrammetry and Remote Sensing, 2015
Jochem Verrelst   +2 more
exaly  

Non‐parametric tests and ridits

Journal of Periodontal Research, 1974
S, Zimmerman, D A, Johnston
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