Complete Convergence of Generalized Pairwise NQD Sequences

Hang Wang; Xi Li Tan

doi:10.4028/www.scientific.net/AMM.441.742

Paper Titles

Improve the Search and Ranking with Neural Networks
p.721

Design Method of Beam Forming Using Genetic Algorithm
p.727

Decision Tree Generation Algorithm without Pruning
p.731

Application of Probabilistic Neural Network in Pattern Classification
p.738

Complete Convergence of Generalized Pairwise NQD Sequences
p.742

Application of Neural Network in Creating Modeling of System
p.746

Parallel Dijkstra's Algorithm Based on Multi-Core and MPI
p.750

Meshless-Finite Element Coupling Method
p.754

Improving Forecasting Performance of Back Propagation to Wind Speed by Square Root Transformation
p.758

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 441Complete Convergence of Generalized Pairwise NQD...

Complete Convergence of Generalized Pairwise NQD Sequences

Abstract:

In this paper, by the moment inequality of generalized pairwise negatively quadrant dependent (NQD) sequences, we prove the convergence of the generalized pairwise NQD sequences, which extend and improve the previous relevant results.

You might also be interested in these eBooks

Machinery Electronics and Control Engineering III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 441)

Pages:

742-745

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.441.742

Citation:

Cite this paper

Online since:

December 2013

Authors:

Hang Wang, Xi Li Tan*

Keywords:

Complete Convergence, Generalized Pairwise NQD Sequences, Moment Inequality

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] E.L. Lehmann. Ann. Math. Statist Vol. 43 (1966), pp.1137-1153.

Google Scholar

[2] H. Doosti, H.A. Niroumand. J. Sci. I.R. Iran Vol. 16(2005), pp.255-259.

Google Scholar

[3] S.X. Gan, P.Y. Chen. Acta Mathematic Scientia Vol. 28(2008), pp.269-281.

Google Scholar

[4] R. Li, W.G. Yang. J. Math. Anal. Appl Vol. 344(2008), pp.741-747.

Google Scholar

[5] S.H. Sung. Appl. Math. Lett Vol. 26 (2012), pp.18-24.

Google Scholar

[6] Q.Y. Wu, Y.Y. Jiang. J. Syst. Sci. Complex Vol. 24(2011), pp.347-357.

Google Scholar

[7] Y.B. Wang, C. Su, X.G. Liu. Acta. Math. Appl. Sin Vol. 21(1998), pp.404-414. In Chinese.

Google Scholar

[8] L.X. Zhang, J.F. Wang. Appl. Math.J. Chinese Univ. Ser. A. Vol. 19(2004), pp.203-208. In Chinese.

Google Scholar

[9] H.W. Huang, D.C. Wang, Q.Y. Wu, Q. X. Zhang. J. Inequal. Appl., 2011, 2011: 92, doi: 10. 1186/ 1029-242X-2011-92.

Google Scholar

[10] Z.G. Deng, W. P. Fan. Pure Mathematics, Vol. 1(2011), pp.132-135. In Chinese.

Google Scholar

[11] A.H. Fan, Z.Z. Wang. J. Inequal. Appl., 2013, 2013: 25, doi: 10. 1186/1029-242X-2013-25.

Google Scholar

[12] J. G. Wang. Modern probability theory foundation. Fudan University Press, 2005. In Chinese.

Google Scholar