Journal of Applied Mathematics and Decision Sciences
Volume 8 (2004), Issue 1, Pages 15-32

SUR Models applied to an environmental situation with missing data and censored values

Ross Sparks

CSIRO Mathematical and Information Sciences, Locked Bag 17, North Ryde 1670, NSW, Australia

Copyright © 2004 Ross Sparks. 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.


This paper develops methodology for predicting faecal coliform values in waterways when some of the data are missing, and some of the data are left-censored. Such predictions are important in predicting when bathing is safe in specific areas of Sydney harbor. The approach taken in the paper makes use of spatial information to improve these predictions.