Testing marginal homogeneity of a continuous bivariate distribution with possibly incomplete paired data
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Publication:2174524
DOI10.1007/s00184-019-00742-5zbMath1437.62162OpenAlexW2972244561WikidataQ127307043 ScholiaQ127307043MaRDI QIDQ2174524
Publication date: 21 April 2020
Published in: Metrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00184-019-00742-5
Nonparametric hypothesis testing (62G10) Hypothesis testing in multivariate analysis (62H15) Nonparametric statistical resampling methods (62G09) Missing data (62D10)
Related Items (3)
Empirical process of concomitants for partly categorial data and applications in statistics ⋮ Cramér-von-Mises tests for the distribution of the excess over a confidence level ⋮ Testing marginal homogeneity in Hilbert spaces with applications to stock market returns
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Cites Work
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- Permutation test for incomplete paired data with application to cDNA microarray data
- Ranking procedures for matched pairs with missing data -- asymptotic theory and a small sample approximation
- The transfer principle: a tool for complete case analysis
- Functional central limit theorems for triangular arrays of function-indexed processes under uniformly integrable entropy conditions
- Weak convergence and empirical processes. With applications to statistics
- Asymptotic properties of a two sample randomized test for partially dependent data
- Accurate mean comparisons for paired samples with missing data: An application to a smoking-cessation trial
- Nonparametric Analysis of Factorial Designs With Random Missingness
- On Testing Equality of Means in the Paired Case with Incomplete Data on Both Responses
- A monte carlo investigation of a statistic for a bivariate missing data problem
- On comparing means in the paired case with incomplete data on both responses
- Testing equality of means of correlated variates with missing observations on both responses
- A test for equality of means of two correlated normal variates with missing data on both responses
- On Testing Equality of Means of Correlated Variates with Incomplete Data
- On difference of means with incomplete data
- A PERMUTATION PAIRED TEST ALLOWING FOR MISSING VALUES
- THE PROBABLE ERROR OF A MEAN
- Permuting incomplete paired data: a novel exact and asymptotic correct randomization test
- A Nonparametric Procedure for the Two‐Factor Mixed Model with Missing Data
- Notes on two sample tests for partially correlated (paired) data
- Hypothesis test for paired samples in the presence of missing data
- Testing equality of two normal means using combined samples of paired and unpaired data
- K-Sample Analogues of the Kolmogorov-Smirnov and Cramer-V. Mises Tests
- A test for equality of means of correlated variates with missing data on one response
- On the Distribution of the Two-Sample Cramer-von Mises Criterion
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