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Journal of Statistical Computation and Simulation Volume 86, 2016 - Issue 1
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Original Articles

Non-parametric weighted tests for independence based on empirical copula process

Ivan MedovikovDepartment of Economics, Brock University, 500 Glenridge Ave., St. Catharines, CanadaL2S 3A1Correspondence[email protected]
Pages 105-121 | Received 28 Apr 2014, Accepted 03 Dec 2014, Published online: 08 Jan 2015

Citations (4)

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Read on this site (3)

Selim Orhun Susam & Burcu Hudaverdi. (2023) A weighted independence test based on smooth estimation of Kendall distribution. Journal of Statistical Computation and Simulation 93:17, pages 3082-3103.
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Burcu Hudaverdi & Selim Orhun Susam. (2023) On the weighted tests of independence based on Bernstein empirical copula. Communications in Statistics - Simulation and Computation 52:2, pages 404-424.
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Luai Al-Labadi, Forough Fazeli Asl & Zahra Saberi. (2021) A Bayesian semiparametric Gaussian copula approach to a multivariate normality test. Journal of Statistical Computation and Simulation 91:3, pages 543-563.
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Articles from other publishers (1)

Eckhard Liebscher. (2024) Fitting copulas in the case of missing data. Statistical Papers.
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