Journal of Applied Mathematics and Decision Sciences
Volume 8 (2004), Issue 1, Pages 15-32
doi:10.1155/S1173912604000021
SUR Models applied to an environmental situation with missing data
and censored values
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.
Abstract
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.