Rank correlation methods for missing data

DOI10.2307/3315379zbMath0858.62035OpenAlexW1963988642MaRDI QIDQ4891286

Mayer Alvo, Paul Cabilio

Publication date: 23 March 1997

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315379

zbMATH Keywords

efficiencymissing observationsrank correlationtests for independenceKendall distancetests for trendSpearman distancedistance between incomplete rankings

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items (6)

Multivariate non-parametric tests of trend when the data are incomplete ⋮ A general theory of hypothesis testing based on rankings ⋮ Bootstrap rank tests for trend in time series ⋮ Multiple rank-based testing for ordered alternatives with incomplete data ⋮ The use of spearman's footrule in testing for trend when the data are incomplete ⋮ Spearman's footrule under progressive censoring

Cites Work

• Rank tests for independence for bivariate censored data
• Analysis of incomplete blocks for rankings
• On the balanced incomplete block design for rankings
• On the asymptotic normality of Kendall's rank correlation statistic
• Testing Ordered Alternatives in the Presence of Incomplete Data
• Ordered Hypotheses for Multiple Treatments: A Significance Test for Linear Ranks
• A Combinatorial Central Limit Theorem
• Nonparametric Tests Against Trend
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