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- W173611639 abstract "The problem introduced in this paper originated from a water pollution study of the Menomenee River in Milwaukee, Wisconsin. The final goal of the study was to estimate the total pollutant load deposited in Lake Michigan, for a given season. However, the information on the concentration of pollutants was not complete. Concentration data were available for only 20% of the days in the study period. Complete data were available on two related series: river flow rate and water equivalent of precipitation. Those series were used along with the pollutant concentration data to create a model for pollutant behavior (for the different pollutants and years), to estimate the missing observations and to estimate total pollutant loading for several seasons. (See Miller, et al (1980).)" @default.
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- W173611639 date "1984-01-01" @default.
- W173611639 modified "2023-09-25" @default.
- W173611639 title "A Strategy to Complete a Time Series with Missing Observations" @default.
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- W173611639 doi "https://doi.org/10.1007/978-1-4684-9403-7_12" @default.
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