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In this paper, we study the complete  f -moment convergence for arrays of rowwise  m -negatively associated random variables under some general conditions. The results obtained in the paper extend and improve some previous known ones. As an application of the main results, we present the complete consistency for the estimator in a semiparametric regression model based on  m -negatively associated errors. We perform some numerical simulations to verify the validity of the theoretical results based on finite samples.

Complete f -moment convergence for arrays of rowwise m -negatively associated random variables and its statistical applications