Statistical Methods for Detection and Quantification of Environmental Contamination

Kontaminationen so frh wie mglich erkennen und damit so frh wie mglich beseitigen: Statistische Methoden, die diesem Ziel dienen, werden hier vorgestellt. Die besprochenen Strategien zum Nachweis und zur Quantifizierung von Schadstoffen lassen sich auf alle Umweltkompartimente anwenden. Praktische Details werden anhand von Fallstudien anschaulich erlutert. ROBERT D. GIBBONS, PhD, is Professor of Biostatistics and Director of the Center for Health Statistics at the University of Illinois at Chicago DAVID E. COLEMAN, MS, is Senior Technical Specialist-Statistics at the Alcoa Technical Center in Alcoa Center, Pennsylvania. Acknowledgments. Introduction. DETECTION AND QUANTIFICATION IN THE LABORATORY. Conceptual Foundations. Statistical Foundations and Review. Calibration-Based Regression Models. Single-Concentration-Based Detection Limit Methods. Single-Concentration-Based Quantification Limit Methods. Calibration-Based Detection Limit Methods. Calibration-Based Quantification Limit Methods. Significant Digits Experimental Design of Detection and Quantification Limit Studies and Related Studies. Between-Laboratory Detection and Quantification Limit Estimators. DETECTION AND QUANTIFICATION IN THE FIELD. Comparison of a Single Measurement to a Regulatory Standard. Censored Data. Testing Distributional Assumptions. Testing for Outliers. Detecting Trend. Detection Monitoring. Assessment and Corrective Action Monitoring: Overview. Assessment and Corrective Action Monitoring: Comparison to a Standard. Assessment and Corrective Action Monitoring: Comparison to Background. Assessment and Corrective Action Monitoring: Case Studies. Review of Available Computer Software. Summary. Appendix: Land’s Tables. Glossary of Measurement Terminology. Mathematical Symbols. Web References. Annotated Bibliography. Index.