SUR models applied to an environmental situation with missing data and censored values (Q705421)
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scientific article; zbMATH DE number 2131521
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | SUR models applied to an environmental situation with missing data and censored values |
scientific article; zbMATH DE number 2131521 |
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SUR models applied to an environmental situation with missing data and censored values (English)
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31 January 2005
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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.
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EM-algorithm
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generalized least squares
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left-censoring
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parameter estimation
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simulation
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spatio-temporal modelling
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seemingly unrelated regression
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0.8302868
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0.8242129
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0.82335085
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0.8225429
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0.82002985
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0.8197906
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0.8188112
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