Weighted rank tests and Hodges–Lehmann estimates for the multivariate two-sample location problem with clustered data
From MaRDI portal
Publication:3145410
DOI10.1080/10485252.2012.712693zbMath1284.62220OpenAlexW2058187370WikidataQ57583436 ScholiaQ57583436MaRDI QIDQ3145410
Jaakko Nevalainen, Riina Lemponen, Hannu Oja, Denis Larocque
Publication date: 20 December 2012
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2012.712693
clustered dataweighted rank testspatial ranksmultivariate two-sample location problemweighted Hodges-Lehmann estimate
Nonparametric hypothesis testing (62G10) Estimation in multivariate analysis (62H12) Nonparametric estimation (62G05) Hypothesis testing in multivariate analysis (62H15)
Related Items
Uses Software
Cites Work
- Unnamed Item
- A Signed-Rank Test for Clustered Data
- Nonparametric analysis of clustered data in diagnostic trials: estimation problems in small sample sizes
- Rank regression for analysis of clustered data: a natural induced smoothing approach
- Multivariate nonparametric methods with R. An approach based on spatial signs and ranks.
- A weighted multivariate signed-rank test for cluster-correlated data
- An enhanced sign test for dependent binary data with small numbers of clusters
- Rank methods for the analysis of clustered data in diagnostic trials
- One-sample location tests for multilevel data
- On the effect of inliers on the spatial median
- Multivariate nonparametric tests
- Correlated data analysis: modeling, analytics, and applications
- A weighted spatial median for clustered data
- A general class of signed-rank tests for clustered data when the cluster size is potentially informative
- Approximation Theorems of Mathematical Statistics
- Incorporation of Clustering Effects for the Wilcoxon Rank Sum Test: A Large‐Sample Approach
- Two sample tests for the nonparametric Behrens–Fisher problem with clustered data
- Multivariate spatial sign and rank methods
- An affine‐invariant multivariate sign test for cluster correlated data
- Nonparametric Analysis of Clustered Multivariate Data
- Rank-Based Estimation and Associated Inferences for Linear Models With Cluster Correlated Errors
- Extension of the Rank Sum Test for Clustered Data: Two‐Group Comparisons with Group Membership Defined at the Subunit Level
- Impact of the Lips for Biometrics
- On the multivariate spatial median for clustered data
- A weighted multivariate sign test for cluster-correlated data
- The Wilcoxon Signed Rank Test for Paired Comparisons of Clustered Data
- Rank-Sum Tests for Clustered Data
