Sparks, Ross SUR models applied to an environmental situation with missing data and censored values. (English) Zbl 1055.62136 J. Appl. Math. Decis. Sci. 8, No. 1, 15-32 (2004). Summary: 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. MSC: 62P12 Applications of statistics to environmental and related topics 62J05 Linear regression; mixed models 65C20 Probabilistic models, generic numerical methods in probability and statistics Keywords:EM-algorithm; generalized least squares; left-censoring; parameter estimation; simulation; spatio-temporal modelling; seemingly unrelated regression PDF BibTeX XML Cite \textit{R. Sparks}, J. Appl. Math. Decis. Sci. 8, No. 1, 15--32 (2004; Zbl 1055.62136) Full Text: DOI EuDML