Design of Sampling Schedules
Gerald G. Akland
Abstract
Open-access reader
Gerald G. Akland
Abstract
Open-access reader
Concern with the statistical precision associated with certain pollutant sampling schedules led to comparison of two sampling schemes, designated as “modified random” and “systematic” sampling methods. A nearly uninterrupted body of data representing six years of sampling provided a basis from which to perform hypothetical “sampling” by the two methods. Comparison of results shows that the systematic method generally gave better results. The method is very simple; ft entails the selection of a sampling interval (other than 7 days or multiple of 7), the selection (randomly) of an initial sampling date, and regular sampling at the selected interval thereafter.
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Concern with the statistical precision associated with certain pollutant sampling schedules led to comparison of two sampling schemes, designated as “modified random” and “systematic” sampling methods. A nearly uninterrupted body of data representing six years of sampling provided a basis from which to perform hypothetical “sampling” by the two methods. Comparison of results shows that the systematic method generally gave better results. The method is very simple; ft entails the selection of a sampling interval (other than 7 days or multiple of 7), the selection (randomly) of an initial sampling date, and regular sampling at the selected interval thereafter.
Key concepts: Sampling (signal processing), Simple random sample, Systematic sampling, Sampling interval, Statistics, Sampling design, Selection (genetic algorithm), Poisson sampling