Journal of Applied Mathematics and Decision Sciences
Volume 2009 (2009), Article ID 512356, 16 pages
doi:10.1155/2009/512356
Research Article

Improving EWMA Plans for Detecting Unusual Increases in Poisson Counts

R. S. Sparks,1 T. Keighley,1 and D. Muscatello2

1CSIRO Mathematical and Information Sciences, Locked Bag 17, North Ryde NSW 1670, Australia
2Centre for Epidemiology and Research, NSW Health Department, Locked Mail Bag 961, North Sydney NSW 2059, Australia

Received 11 November 2008; Revised 27 April 2009; Accepted 19 June 2009

Academic Editor: Chin Lai

Copyright © 2009 R. S. Sparks et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

R. S. Sparks, T. Keighley, and D. Muscatello, “Improving EWMA Plans for Detecting Unusual Increases in Poisson Counts,” Journal of Applied Mathematics and Decision Sciences, vol. 2009, Article ID 512356, 16 pages, 2009. doi:10.1155/2009/512356