A-dependence statistics for mutual and serial independence of categorical variables
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Publication:1015891
DOI10.1016/J.JSPI.2008.11.006zbMath1160.62038OpenAlexW2141781144MaRDI QIDQ1015891
Publication date: 30 April 2009
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2008.11.006
Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Hypothesis testing in multivariate analysis (62H15) Central limit and other weak theorems (60F05) Contingency tables (62H17)
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On the estimation of Spearman's rho and related tests of independence for possibly discontinuous multivariate data ⋮ Statistical dependence: beyond Pearson's \(\rho\) ⋮ Unnamed Item
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Cites Work
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- An asymptotic decomposition for multivariate distribution-free tests of independence
- Tests of independence and randomness based on the empirical copula process
- Nonparametric tests of independence between random vectors
- A multivariate empirical characteristic function test of independence with normal marginals
- Testing for Pairwise Serial Independence Via the Empirical Distribution Function
- Spectral analysis for categorical time series: Scaling and the spectral envelope
- Multiplicative and additive interaction in contingency tables
- TESTING SERIAL INDEPENDENCE USING THE SAMPLE DISTRIBUTION FUNCTION
- Distribution Free Tests of Independence Based on the Sample Distribution Function
- Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models
- A nonparametric test of serial independence for time series and residuals
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