Q. Y. Wu, “Further Study Strong Consistency of Estimator in Linear Model for -Mixing Random Samples,” Journal of Systems Science and Complexity, Vol. 24, No. 5, 2011, pp. 969-980. doi:10.1007/s11424-011-8407-7

has been cited by the following article:

• TITLE: Complete Convergence and Weak Law of Large Numbers for ρ-Mixing Sequences of Random Variables

  AUTHORS: Qunying Wu

  KEYWORDS: ρ-Mixing Sequence of Random Variables; Complete Convergence; Weak Law of Large Number

  JOURNAL NAME: Open Journal of Statistics, Vol.2 No.5, December 19, 2012

  ABSTRACT: In this paper, the complete convergence and weak law of large numbers are established for ρ-mixing sequences of random variables. Our results extend and improve the Baum and Katz complete convergence theorem and the classical weak law of large numbers, etc. from independent sequences of random variables to ρ-mixing sequences of random variables without necessarily adding any extra conditions.