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2019•Journal of Mathematical InequalitiesOpen access

On the complete convergence for weighted sums of extended negatively dependent random variables

Yongf ng Wu, Mingq ng Zhai, Jiangyan Peng

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Abstract

The authors investigate the complete convergence for weighted sums of extended negatively dependent (END) random variables. The main results obtained in the paper extend and improve the corresponding result of Zarei and Jabbari [Zarei, H., Jabbari, H., 2011. Complete convergence of weighted sums under negative dependence. Stat. Papers, 52,[413][414][415][416][417][418].

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What this paper is about

The authors investigate the complete convergence for weighted sums of extended negatively dependent (END) random variables. The main results obtained in the paper extend and improve the corresponding result of Zarei and Jabbari [Zarei, H., Jabbari, H., 2011. Complete convergence of weighted sums under negative dependence. Stat. Papers, 52,[413][414][415][416][417][418].

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The authors investigate the complete convergence for weighted sums of extended negatively dependent (END) random variables. The main results obtained in the paper extend and improve the corresponding result of Zarei and Jabbari [Zarei, H., Jabbari, H., 2011. Complete convergence of weighted sums under negative dependence. Stat. Papers, 52,[413][414][415][416][417][418].

Key concepts: Mathematics, Convergence (economics), Statistics, Applied mathematics, Economic growth, Economics

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