Randolph Nelson, Donald Towsley
Journal of the ACM (JACM)
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, Donald Towsley
Journal of the ACM (JACM)
Randolph Nelson
Journal of the ACM
Randolph Nelson, Don Towsley, et al.
IEEE Transactions on Software Engineering
Randolph D. Nelson, Thomas K. Philips
Performance Evaluation