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Title: Sisvar: a guide for its bootstrap procedures in multiple comparisons
Other Titles: Sisvar: um guia dos seus procedimentos de comparações múltiplas bootstrap
Keywords: Análise estatística
Comparações múltiplas
Statistical analysis
Multiple comparisons
Issue Date: Mar-2014
Publisher: Editora da Universidade Federal de Lavras
Citation: FERREIRA, D. F. Sisvar: a guide for its bootstrap procedures in multiple comparisons. Ciência e Agrotecnologia, Lavras, v. 38, n. 2, p.109-112, mar./abr. 2014.
Abstract: Sisvar is a statistical analysis system with a large usage by the scientific community to produce statistical analyses and to produce scientific results and conclusions. The large use of the statistical procedures of Sisvar by the scientific community is due to it being accurate, precise, simple and robust. With many options of analysis, Sisvar has a not so largely used analysis that is the multiple comparison procedures using bootstrap approaches. This paper aims to review this subject and to show some advantages of using Sisvar to perform such analysis to compare treatments means. Tests like Dunnett, Tukey, Student-Newman–Keuls and Scott-Knott are performed alternatively by bootstrap methods and show greater power and better controls of experimentwise type I error rates under non-normal, asymmetric, platykurtic or leptokurtic distributions.
Appears in Collections:Ciência e Agrotecnologia
DEX - Artigos publicados em periódicos

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