2014StochasticsRequires access

Complete convergence for weighted sums of LNQD random variables

Aiting Shen, Huayan Zhu, Ranchao Wu, Ying Zhang

Open publisher page 8 citations

Abstract

In this paper, we study the complete convergence for weighted sums of linearly negative quadrant dependent (LNQD) random variables based on the exponential bounds. In addition, we present some complete convergence for arrays of rowwise LNQD random variables.

About this research paper

What this paper is about

In this paper, we study the complete convergence for weighted sums of linearly negative quadrant dependent (LNQD) random variables based on the exponential bounds. In addition, we present some complete convergence for arrays of rowwise LNQD random variables.

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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

In this paper, we study the complete convergence for weighted sums of linearly negative quadrant dependent (LNQD) random variables based on the exponential bounds. In addition, we present some complete convergence for arrays of rowwise LNQD random variables.

Key concepts: Mathematics, Convergence (economics), Exponential function, Quadrant (abdomen), Random variable, Proofs of convergence of random variables, Applied mathematics, Convergence of random variables

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