Journal
CIENCIA E AGROTECNOLOGIA
Volume 38, Issue 2, Pages 109-112Publisher
UNIV FEDERAL LAVRAS-UFLA
DOI: 10.1590/S1413-70542014000200001
Keywords
Monte Carlo; type I error; power
Categories
Funding
- CNPq
- CAPES
- FAPEMIG
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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.
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