Journal of Jilin University Science Edition

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Asymptotic Properties of Wavelet Estimator for ρMixing Sequence

DING Liwang1, LI Yongming2   

  1. 1. School of Information and Statistics, Guangxi University of Financial and Economics, Nanning 530003, China;2. School of Mathematics and Computer
     Science, Shangrao Normal University,Shangrao 334001, Jiangxi Province, China
  • Received:2016-05-16 Online:2017-03-26 Published:2017-03-24
  • Contact: DING Liwang E-mail:2008dingliwang@163.com

Abstract: By using methods of truncation and largeblocks or smallblocks, we considered the asymptotic properties of the wavelet estimator for ρmixing sequence in the nonparametric regression model, and obtained the strong consistency and the asymptotic normality of the wavelet estimator of g(·).

Key words: asymptotic normality, ρmixing sequence, strong consistency, wavelet estimator

CLC Number: 

  • O212.4