Advances in 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

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.