Probability tail for linearly negative quadrant dependent random variables of partial sums and application to linear model Inequalities for LNQD R.V of partial sums and application
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Abstract
In this paper, we establish a new concentration inequality and complete convergence of weighted sums for arrays of rowwise linearly negative quadrant dependent (LNQD, in short) random variables and obtain a result dealing with complete convergence of first-order autoregressive processes with identically distributed LNQD innovations.
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