Predictor versus response permutation for significance testing in weighted regression and redundancy analysis

DOI10.1080/00949655.2021.2019256OpenAlexW4200495071MaRDI QIDQ5086087

Cajo J. F. ter Braak

Publication date: 1 July 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.2019256

zbMATH Keywords

permutation testweighted regressionredundancy analysiscanonical correspondence analysisweighted log-ratio analysis

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• Canoco
• permute

Cites Work

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• An exact permutation method for testing any effect in balanced and unbalanced fixed effect ANOVA
• Distributional equivalence and subcompositional coherence in the analysis of compositional data, contingency tables and ratio-scale measurements
• Redundancy analysis: an alternative for canonical correlation analysis
• Permutation \(p\)-values should never be zero: calculating exact \(p\)-values when permutations are randomly drawn
• Exact testing with random permutations
• Sensitivity of MRQAP tests to collinearity and autocorrelation conditions
• Principal component analysis of compositional data
• Permutation Tests for Linear Models
• RANDOM PERMUTATION TESTING IN MULTIPLE LINEAR REGRESSION
• On Permutation Tests in Multiple Regression and Analysis of Covariance Problems
• Biplots in Reduced‐Rank Regression
• On the Conditional Distribution of the Multivariate t Distribution

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