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	Provedor de dados Agronomy (1) AgEcon (1) Autor Akbarpour, Omid Ali (1) Dehghani, Hamid (1) Kaiser, Johannes (1) Kang, Manjit Singh (1) Sorkhi-Lalelo, Bezad (1) Palavra-chave Nonparametric tests (2) Breeding and Genetics rank (1) Monte Carlo (1) Multienvironment trials (1) Permtest1 (1) Permtest2 (1) Permutation tests (1) Research Methods/ Statistical Methods (1) SAS code Plant Breeding (1) Two-way data (1) Mais... Tipo do documento Article (1) Info:eu-repo/semantics/article (1) Ano 2016 (1) 2007 (1) País Brazil (1) United States (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última A SAS macro for computing statistical tests for two-way table and stability indices of nonparametric method from genotype-by-environment interaction Agronomy Akbarpour, Omid Ali; Dehghani, Hamid; Sorkhi-Lalelo, Bezad; Kang, Manjit Singh. Genotype-by-environment interaction refers to the differential response of different genotypes across different environments. This is a general phenomenon in all living organisms and always has been one of the main challenges for biologists and plant breeders. The nonparametric methods based on the rank of original data have been suggested as the alternative methods after parametric methods to analyze data without perquisite assumptions needed for common analysis of variance. But, the lack of statistical software or package, especially for analysis of two-way data, is one of the main reasons that plant breeders have not greatly used the nonparametric methods. Here, we have explained the nonparametric methods and presented a comprehensive two-parts SAS... Tipo: Info:eu-repo/semantics/article Palavras-chave: Breeding and Genetics rank; Multienvironment trials; Nonparametric tests; Two-way data; SAS code Plant Breeding. Ano: 2016 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/26381 An exact and a Monte Carlo proposal to the Fisher–Pitman permutation tests for paired replicates and for independent samples AgEcon Kaiser, Johannes. This article concerns the nonparametric Fisher–Pitman tests for paired replicates and independent samples. After outlining the theory of exact tests, I derive Monte Carlo simulations for both of them. Simulations can be useful if one deals with many observations because of the complexity of the algorithms in regard to sample sizes. The tests are designed to be a more powerful alternative to the Wilcoxon signed-rank test and the Wilcoxon–Mann–Whitney rank-sum test if the observations are given on at least an interval scale. The results gained by Monte Carlo versions of the tests are accurate enough in comparison to the exact versions. Finally, I give examples for using both supplemented tests. Tipo: Article Palavras-chave: Permtest1; Permtest2; Nonparametric tests; Monte Carlo; Permutation tests; Research Methods/ Statistical Methods. Ano: 2007 URL: http://purl.umn.edu/119284 Registros recuperados: 2 Primeira ... 1 ... Última

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