95
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

On the rate of convergence in the strong law of large numbers for negatively orthant-dependent random variables

, &
Pages 6209-6222 | Received 16 Feb 2014, Accepted 15 Aug 2014, Published online: 11 Aug 2016
 

ABSTRACT

In this paper, we study the complete convergence and complete moment convergence for negatively orthant-dependent random variables. Especially, we obtain the Hsu–Robbins-type theorem for negatively orthant-dependent random variables. Our results generalize the corresponding ones for independent random variables.

MATHEMATICS SUBJECT CLASSIFICATION:

Acknowledgments

The authors are most grateful to the Editor-in-Chief N. Balakrishnan and anonymous referee for careful reading of the manuscript and valuable suggestions which helped in improving an earlier version of this paper.

Funding

Supported by the National Natural Science Foundation of China (11501004, 11501005, 11526033), the Natural Science Foundation of Anhui Province (1508085J06), the Provincial Natural Science Research Project of Anhui Colleges (KJ2015A018), the Key Projects for Academic Talent of Anhui Province (gxbjZD2016005), the Quality Engineering Project of Anhui Province (2015jyxm045) and the Quality Improvement Project for Undergraduate Education of Anhui University (ZLTS2015035).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,069.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.