Ranking procedures for matched pairs with missing data -- asymptotic theory and a small sample approximation

DOI10.1016/j.csda.2011.03.022zbMath1241.62066OpenAlexW2043175796MaRDI QIDQ433209

Solomon W. Harrar, Edgar Brunner, Frank Konietschke, Katharina Lange

Publication date: 13 July 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2011.03.022

zbMATH Keywords

ordered categorical datatiesmissing valuesBehrens-Fisher problemrank testnonparametric hypothesisrepeated measures design

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Nonparametric tolerance and confidence regions (62G15)

Related Items (10)

Analyzing partially paired data: when can the unpaired portion(s) be safely ignored? ⋮ Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism ⋮ Testing marginal homogeneity of a continuous bivariate distribution with possibly incomplete paired data ⋮ Robust testing procedures for scale differences in paired data ⋮ The nonparametric Behrens–Fisher problem in partially complete clustered data ⋮ Notes on two sample tests for partially correlated (paired) data ⋮ Confidence intervals for population means of partially paired observations ⋮ Nonparametric methods for clustered data in pre-post intervention design ⋮ Predicting missing values: a comparative study on non-parametric approaches for imputation ⋮ Nonparametric procedures for partially paired data in two groups

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