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Estimation of Functionals of Multivariate Distribution by Censored Observation Via Copula Function

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The problem of estimation of multivariate survival function under dependent random right-censoring of observations is considered. To construct estimators, Archimedean copula functions are used. Consistency properties of estimators are proved by martingale techniques. The possibility of application of estimators to integral-type functionals is discussed.

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References

  1. A.A. Abdushukurov, Statistics of Incomplete Observations. Asymptotic Estimation Theory for Non-classical Models, University Press, Tashkent (2009).

  2. A.A. Abdushukurov and R. S. Muradov, “Copula — graphical power estimates for the distribution function for the dependent model of random censoring from the right,” Herald of NUUz, No. 1/2, 201–204 (2010).

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Correspondence to A. A. Abdushukurov.

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Translated from Statisticheskie Metody Otsenivaniya i Proverki Gipotez, Vol. 23, pp. 132–143, 2011

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Abdushukurov, A.A., Dushatov, N. & Muradov, R.S. Estimation of Functionals of Multivariate Distribution by Censored Observation Via Copula Function. J Math Sci 267, 108–116 (2022). https://doi.org/10.1007/s10958-022-06111-4

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  • DOI: https://doi.org/10.1007/s10958-022-06111-4

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