Multivariate non-parametric tests of trend when the data are incomplete

DOI10.1016/S0167-7152(02)00062-7zbMath0996.62045OpenAlexW1966335677MaRDI QIDQ1613079

Jincheol Park, Mayer Alvo

Publication date: 5 September 2002

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(02)00062-7

zbMATH Keywords

Kendallmissing observationsrankingsSpearman

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Hypothesis testing in multivariate analysis (62H15)

Cites Work

• On the balanced incomplete block design for rankings
• Hajek-Sidak approach to the asymptotic distribution of multivariate rank order statistics
• A Nonparametric Multivariate Test for Monotone Trend with Pharamaceutical Applications
• Rank correlation methods for missing data
• A Class of Statistics with Asymptotically Normal Distribution

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