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.