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Full Description
Evolving from a popular short course developed by the author for environmental, state agency, and industrial professionals, this practical guide presents the basic statistical principles used in the scientific design of groundwater monitoring statistical programs. Ground Water Monitoring Statistics and Regulations allows readers to understand the nature of groundwater data; understand the decision-making problem as a statistical hypothesis-testing problem; appreciate the limitations of some statistical approaches, and recognize the challenges that remain in the development of groundwater monitoring strategies.
Contents
STATISTICAL PRINCIPLESPopulations, Samples and Sampling DistributionsHypothesis TestsMultiple Comparisons and Facility-Wide False Positive Rate ControlStatistical ModelsGROUND-WATER DATAStatistical Models for Ground-Water DataAdditional Statistical ToolsData TransformationsFurther Ground-Water Data ExamplesConcepts of "Background"GROUND-WATER MONITORING STATISTICSBrief History of RegulationThe Regulatory FrameworkConfirmatory ResamplesStatistical Tests Allowed under Federal RegulationDiscussion of the Various MethodsANOVAPredication and Tolerance LimitsControl ChartsAlternate TestsSummary of RecommendationsData-Based Power AnalysesMonitoring Parameter SelectionTHE ENVIROSTAT APPROACHPlanning and Background Data CollectionBackground Data EvaluationA Typical Parametric Data AnalysisAn Analysis with Varying Non-Detect ProportionsIndicator Parameter SelectionOTHER TOPICSSecondary Collection System MonitoringAssessment and RemediationLaboratory PerformanceREVIEW AND SUMMARY
