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Complete f-moment Convergence for Widely Orthant Dependent Random Variables and Its Application in Nonparametric Models

作者:Chao; LU; Zhuang; CHEN; Xue; Jun; WANGwidelyorthantdependentrandomvariablescompleteconvergenceconsistency

摘要:In this paper,we study the complete f-moment convergence for widely orthant dependent(WOD,for short)random variables.A general result on complete f-moment convergence for arrays of rowwise WOD random variables is obtained.As applications,we present some new results on complete f-moment convergence for WOD random variables.We also give an application to nonparametric regression models based onWOD errors by using the complete convergence that we established.Finally,the choice of the fixed design points and the weight functions for the nearest neighbor estimator are proposed,and a numerical simulation is provided to verify the validity of the theoretical result.

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数学学报

《数学学报》(CN:11-2038/O1)是一本有较高学术价值的大型双月刊,自创刊以来,选题新奇而不失报道广度,服务大众而不失理论高度。颇受业界和广大读者的关注和好评。

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