Sisvar: a Guide for its Bootstrap procedures in multiple comparisons

By Daniel Furtado Ferreira. 2014

1,432 citations recorded by the source corpus.

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.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c2e4dec1bb4cf46428e1c9a54a8d404832b307de

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In Management Science and Operations Research

  1. Yangruibo Ding
  2. Baishakhi Ray
  3. Saikat Chakraborty
  4. Rahul Krishna
  5. Daniel Furtado Ferreira

In Statistics and Probability

  1. Yangruibo Ding
  2. Baishakhi Ray
  3. Saikat Chakraborty
  4. Rahul Krishna
  5. Daniel Furtado Ferreira

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