Synchronized permutation tests in replicated designs

Basso, Dario; Chiarandini, Marco; Salmaso, Luigi

doi:10.1016/j.jspi.2006.04.016

Cited by 44 publications

(36 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These are normality, homocedasticity and independence of residuals. While a slightly strong tailed normal distribution of the residuals is observed, residuals are clearly homoscedastic and independent, and according to the recent results of Basso et al (2007) and Rasch and Guiard (2004), this is not a major problem. The response factor is again the RPD and the controlled factors are n, m, f , t and algorithms.…”

Section: Heuristics Evaluationsupporting

confidence: 63%

The Distributed and Assembly Scheduling Problem

Hatami¹

View full text Add to dashboard Cite

Section: Heuristics Evaluationsupporting

confidence: 63%

The Distributed and Assembly Scheduling Problem

Hatami¹

View full text Add to dashboard Cite

“…The synchronized permutation method (Pesarin 2001;Salmaso 2003;Basso et al 2007) is similar to the block permutation approaches. Data are permuted only within blocks keeping one factor constant.…”

Section: Synchronized Permutation Methodsmentioning

confidence: 99%

“…An alternative to these approaches are synchronized permutation methods for twoway ANOVA (Salmaso 2003;Basso et al 2007). For balanced designs synchronized permutations are an exact approach and show a power that is comparable to or even higher than the power of parametric approaches (Basso et al 2007).…”

Section: Synchronized Permutation Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A comparison of different synchronized permutation approaches to testing effects in two-level two-factor unbalanced ANOVA designs

Hahn

Salmaso

2015

Stat Papers

Self Cite

View full text Add to dashboard Cite

Analysis of variance (ANOVA) is used to compare the means of various samples. Parametric ANOVA approaches assume normally distributed error terms within subsamples. Permutation tests like synchronized permutation tests are computationally intensive and distribution free procedures. Hence they overcome the limitationsofparametricmethods.Unbalanceddesignswithdifferingsubsamplesizes are quite frequent in various disciplines. There is a broad literature about unbalanced designs and parametric testing. For permutation tests this topic received some attentionrecently.Thispaperextendsthesynchronizedpermutationmethodtounbalanced two-level ANOVA designs. A simulation study investigates the behavior of different procedures for various types of unbalanced designs. It compares the results to other permutation approaches. The synchronized permutation method yields comparable results to the best performing competing permutation approaches. However the approach is limited to certain kinds of unbalanced designs

show abstract

“…Since the assumption of normal distribution is hardly met in minimization problems, the permutation test (Basso et al, 2007), instead of parametric tests, is adopted for statistical testing in the study. A Monte Carlo method with 10,000 permutations is used to obtain the approximate p-value of the permutation test.…”

Section: Inferential Statistics Analysis Of Nine Selection Schemes Fomentioning

confidence: 99%

Solving the Probabilistic Travelling Salesman Problem Based on Genetic Algorithm with Queen Selection Scheme

Liu¹

2008

Traveling Salesman Problem

View full text Add to dashboard Cite

Synchronized permutation tests in replicated designs

Cited by 44 publications

References 3 publications

The Distributed and Assembly Scheduling Problem

The Distributed and Assembly Scheduling Problem

A comparison of different synchronized permutation approaches to testing effects in two-level two-factor unbalanced ANOVA designs

Solving the Probabilistic Travelling Salesman Problem Based on Genetic Algorithm with Queen Selection Scheme

Contact Info

Product

Resources

About