Journal ArticleDOI
Algorithms for Monitoring Changes in Quality of Communication Links
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TLDR
This paper develops and analyzes a quality control algorithm which is suitable for monitoring the performance of direct links via high-volume service observing data and processes a sample of successful as well as unsuccessful call attempts sequentially and in real time to quickly and effectively detect deteriorations in theperformance of a link.Abstract:
The automation of network service observing through message classification software permits a great increase in the rate at which observations can be made, thus allowing the monitoring of network links as well as switching nodes. This paper develops and analyzes a quality control algorithm which is suitable for monitoring the performance of direct (end-office to endoffice) links via high-volume service observing data. This algorithm processes a sample of successful as well as unsuccessful call attempts sequentially and in real time to quickly and effectively detect deteriorations in the performance of a link. Discussion of the performance qualities and the robustness of this algorithm is presented. The discussion is supported by quantitative results.read more
Citations
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Control Charts Based on Attribute Data: Bibliography and Review
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An algorithm for detecting a change in a stochastic process
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Ali Tajer,H.V. Poor +1 more
TL;DR: This paper provides a statistical framework for detecting rare events so that an optimal balance between detection reliability and agility, as two opposing performance measures, is established.
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Quick Search for Rare Events
Ali Tajer,H. Vincent Poor +1 more
TL;DR: In this article, a statistical framework for detecting rare events is proposed, which aims to find an optimal balance between detection reliability and agility, as two opposing performance measures, by focusing the information gathering resources on the segments of the dataset that bear the information pertinent to the rare events.
Book ChapterDOI
On -line detection of jumps in mean
TL;DR: The purpose of this first chapter is the presentation of the main concepts and tools which are used for on-line detection of model changes, in the simplest case, namely jumps in mean.
References
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Journal ArticleDOI
Procedures for reacting to a change in distribution
TL;DR: In this paper, a problem of optimal stopping is formulated and simple rules are proposed which are asymptotically optimal in an appropriate sense, which is of central importance in quality control and also has applications in reliability theory.
Book
Sequential Analysis and Optimal Design
TL;DR: Preliminaries on probability Generalities about the conventional theory of design of experiments Optimal sample size Preliminary on regression Design for linear regression: Elfving's method Maximum-likelihood estimation Locally optimal designs for estimation More design in regression experiments Testing hypotheses Optimal samples size in testing Sequential probability-ratio test Optimality of sequential probability-Ratio test Motivation for an approach to sequential design of experiment in testing hypotheses.
Journal ArticleDOI
Some Characteristics of Page's Two-sided Procedure for Detecting a Change in a Location Parameter
Jack Nadler,Naomi B. Robbins +1 more
TL;DR: In this paper, a two-sided procedure proposed by E. S. Page for detecting a change in the location of the distribution of a sequence of independent observations which are ordered in time is studied.