Randolph Nelson, Leonard Kleinrock
IEEE Transactions on Communications
Chemoff’s bound on P[X ≥ t] is used almost universally when a tight bound on tail probabilities is required. In this article we show that for all positive t and for all distributions, the moment bound is tighter than Chemoff’s bound. By way of example, we demonstrate that the improvement is often substantial. © Taylor & Francis Group, LLC.
Randolph Nelson, Leonard Kleinrock
IEEE Transactions on Communications
Leonard Kleinrock, Randolph Nelson
IEEE Transactions on Communications
Shivendra S. Panwar, Thomas K. Philips, et al.
IEEE Transactions on Communications
Cheng-Shang Chang, Randolph Nelson, et al.
Performance Evaluation