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RECORD NUMBER: 503 OF 724

OLS Field Name OLS Field Data
Main Title Probability Sampling and Population Inference in Monitoring Programs.
Author Overton., W. S. ;
CORP Author Oregon State Univ., Corvallis. Dept. of Statistics.;Corvallis Environmental Research Lab., OR.
Publisher 1992
Year Published 1992
Report Number EPA/600/A-92/108;
Stock Number PB92-180272
Additional Subjects Sampling ; Population(Statistics) ; Environmental monitoring ; Mathematical models ; Probability theory ; Statistical samples ; Variance(Statistics) ; Reprints ; EMAP(Environmental Monitoring and Assessment Program) ; Horvitz-Thompson estimation
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB92-180272 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 08/22/1992
Collation 19p
Abstract
Sampling programs having the objective of describing specific real-world populations can utilize design protocols of probability sampling to ensure consistent estimation of the parameters of those real populations. Predictive models can often provide enhanced real population inference, but model-based methods are not required for rigorous inference, and are often unavailable. When model-based inference is planned, the probability sampling protocol is sometimes eliminated, with reliance more on the rigor provided by the model. Such an option is clearly feasible in certain circumstances. However, multipurpose monitoring programs are unlikely to provide those circumstances, and a probability sampling protocol is indispensable for population-scale sampling in all cases in which the properties of real-world populations are the program objective. The sampling design for EPA's Environmental Monitoring and Assessment Program (EMAP) is the illustrative example.