Article
New Tail Probability Type Concentration Inequalities and Complete Convergence for WOD Random Variables
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Abstract
Let $\{Z_n, n \ge 1\}$ be sequence of Widely Orthant Dependent random variables (WOD). The goal of this paper is to obtain some concentration inequalities for unbounded Widely Orthant Dependent (WOD) random variables. Then we will use this inequality for establishing the almost complete convergence for a sequence of widely dependent random variables (WOD).
Keywords
WOD sequence, exponential inequalities, complete convergence, concentration inequalities
Citation
Kaddour, Z., Belguerna, A., & Benaissa, S. (2022). New tail probability type concentration inequalities and complete convergence for WOD random variables. Turkish Journal of Computer and Mathematics Education, 13(2), 151–156.
Z. Kaddour, A. Belguerna and S. Benaissa, “New tail probability type concentration inequalities and complete convergence for WOD random variables,” Turkish Journal of Computer and Mathematics Education, vol. 13, no. 2, pp. 151–156, 2022.
Kaddour Z, Belguerna A, Benaissa S. New tail probability type concentration inequalities and complete convergence for WOD random variables. Turkish Journal of Computer and Mathematics Education. 2022;13(2):151–156.
Kaddour, Z., Belguerna, A. and Benaissa, S. (2022), ‘New tail probability type concentration inequalities and complete convergence for WOD random variables’, Turkish Journal of Computer and Mathematics Education, 13(2), pp. 151–156.
Kaddour, Zoubeyr, et al. “New Tail Probability Type Concentration Inequalities and Complete Convergence for WOD Random Variables.” Turkish Journal of Computer and Mathematics Education, vol. 13, no. 2, 2022, pp. 151–156.
Kaddour, Zoubeyr, Abderrahmane Belguerna, and Samir Benaissa. “New Tail Probability Type Concentration Inequalities and Complete Convergence for WOD Random Variables.” Turkish Journal of Computer and Mathematics Education 13, no. 2 (2022): 151–156.
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Published by: Engineering Journals
