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Use and Comparison of Permutation Tests in Linear Models

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Use and Comparison of Permutation Tests in Linear Models

Object description

F and t-test are generally used to test significance of hypothesis and/or model parameters. Although parametric tests are considerably effective, they can be ineffective when the assumptions needed by model are not provided, which is a usual stuation for many data sets. In this case, permutation test not affected by the assumptions can be applied as a non-parametric method. In this study, permutation tests such as permutation of raw data, permutation of residuals under full model and permutatio...

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Author(s) / Publisher

Hasan Önder


Mathematics and Statistics


permutation tests, linear models, Type I and II errors, biometry

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This resource is licensed under the license(CC-BY-NC-ND) Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported

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