Permutation Tests for Complex Data: Theory, Applications and Software by F. Pesarin and L. Salmaso
By B. Brown. 2012
117 citations recorded by the source corpus.
Subfields: Physical and Theoretical Chemistry
View Paper: https://www.semanticscholar.org/paper/a91d46f2b7c8d838218c09cf45ed6fff845baae5
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In Physical and Theoretical Chemistry
Citations in the corpus
- Specification Curve: Descriptive and Inferential Statistics on All Reasonable Specifications (2015, unknown): “The only assumption behind this test is exchangeability (Ernst, 2004; Pesarin & Salmaso, 2010), that any hurricane could have received any name (see footnote 4).”
- Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review (2020, unknown): “2 Non-Parametrical Statistical Tests According to Pesarin [63], P is a non-parametric family of distributions if it is not possible to find a finite-dimensional space Θ in which there is a one-to-one relationship between Θ and P.”
- A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics (2016, methodology): “To construct the permutation test for H0 Tippett’s combining function [17] is used with H0: τ = min(λ(1)/k(1), λ(2)/k(2)) where λ(1) and λ(2) are the p-values of the sub-hypothesis tests H(1) 0 and H(2) 0 respectively, and k 1 and k(2) are design parameters.”
- Interval-wise testing for functional data (2017, unknown): “…the number of permutations of the data to be explored to evaluate the p -values is extremely high in at least some of the studied cases, a Conditional Monte Carlo (CMC) algorithm is applied to estimate the p -values of the tests of H I 0 against H I 1 for any interval I (Pesarin and Salmaso 2010).”
- Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies (2011, unknown): “To overcome these problems and to give a measure of the statistical significance of the diagnostic statistics (P-value), a permutation test was introduced (Lindgren et al. 1996; Golland et al. 2005; Mielke and Berry 2007; Pesarin and Salmaso 2010).”