Abstract
Abstract In this article, the complete convergence and the Kolmogorov strong law of large numbers for weighted sums of ( α , β ) \left(\alpha ,\beta ) -mixing random variables are presented. An application to simple linear errors-in-variables model is provided. Simulation studies are also carried out to support the theoretical results.
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