Results 251 to 260 of about 854,564 (299)
Some of the next articles are maybe not open access.
2011
The t-tests reviewed in the previous chapter are suitable for studies with normally distributed results. However, if there are outliers, then the t-tests are not sensitive and non-parametric tests have to be applied. We should add that non-parametric are also adequate for testing normally distributed data. And, so, these tests are, actually, universal,
Ton J. Cleophas, Aeilko H. Zwinderman
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The t-tests reviewed in the previous chapter are suitable for studies with normally distributed results. However, if there are outliers, then the t-tests are not sensitive and non-parametric tests have to be applied. We should add that non-parametric are also adequate for testing normally distributed data. And, so, these tests are, actually, universal,
Ton J. Cleophas, Aeilko H. Zwinderman
openaire +1 more source
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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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
openaire +1 more source
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.
openaire +1 more source
Non-Parametric Tests of Consumer Behaviour
The Review of Economic Studies, 1983Summary: This paper shows how to test demand data for consistency with maximization, homotheticity, various forms of separability, and a rationing model without making any assumptions concerning the parametric form of underlying demand or utility functions.
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Non-Parametric Statistical Tests
2018Chapter 10 introduces the most commonly used non-parametric tests, as well as the appropriate situations for their use. It also examines concepts of sample size, power, and validity when using these tests. In addition, this chapter discusses the major advantages and disadvantages of non-parametric tests, and how they compare to their optimal parametric
Felipe Fregni +2 more
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Non‐parametric tests and ridits
Journal of Periodontal Research, 1974S, Zimmerman, D A, Johnston
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VCS and CVS: New combined parametric and non-parametric operation research models
Sustainable Operations and Computers, 2021Mirpouya Mirmozaffari +2 more
exaly