Ciência e Agrotecnologia· 2014Q2
Sisvar: a Guide for its Bootstrap procedures in multiple comparisons
- 1,859citations
- Q2SCImago
- 2014year
Short summary
Sisvar software offers bootstrap-based multiple comparison procedures that demonstrate greater statistical power and better control of Type I error rates compared to traditional methods, especially under non-ideal data distributions.
AI-generated from the title and abstract; the full text is not read.
Key points
- Sisvar software can perform multiple comparison procedures using bootstrap methods.
- Bootstrap approaches in Sisvar offer greater statistical power than traditional methods.
- These bootstrap methods provide better control of experimentwise Type I error rates.
- The advantages are most pronounced under non-normal, asymmetric, platykurtic, or leptokurtic data distributions.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Ciência e Agrotecnologia, 2014 · DOI ↗
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Field: Statistics and Probability
Statistics and ProbabilityMathematics