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On a non-parametric testSome of the next articles are maybe not open access.
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1972
In the last two chapters we have seen how the t-test can be used to derive confidence intervals and significance tests for an unknown mean. In this chapter we present some alternative methods of analysis which do not make the assumption that the observations are normally distributed.
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In the last two chapters we have seen how the t-test can be used to derive confidence intervals and significance tests for an unknown mean. In this chapter we present some alternative methods of analysis which do not make the assumption that the observations are normally distributed.
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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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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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1980
The corpus of theory on non-parametric approaches to outlier testing is not large, and given the strongly parametric nature of the outlier model, this is really not surprising. Most of the results that there are relate to slippage rather than outlier problems.
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The corpus of theory on non-parametric approaches to outlier testing is not large, and given the strongly parametric nature of the outlier model, this is really not surprising. Most of the results that there are relate to slippage rather than outlier problems.
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SPBS: Programs for non-parametric tests
Computer Programs in Biomedicine, 1983Abstract A new series of programs for non-parametric tests have been inserted in SPBS, a statistical package for biological sciences that applies biostatistical methods using microcomputer software [Comput. Prog. Biomed. 14 (1982) 7–20]. Programs presented here cover non-parametric tests for multiple comparisons between two or more groups of paired ...
A, Giannangeli, M, Recchia, M, Rocchetti
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Testing for additivity in non‐parametric regression
Canadian Journal of Statistics, 2016AbstractThis article discusses a novel approach for testing for additivity in non‐parametric regression. We represent the model using a linear mixed model framework and equivalently rewrite the original testing problem as testing for a subset of zero variance components.
Zhang, Yichi +2 more
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