A Case Study Perspective on Working with ProUCL and a State Environmental Agency in Determining Background Threshold Values

作者：Daniel David L^*

来源：International Journal of Environmental Research and Public Health, 2015, 12(10): 12905-12923.

DOI：10.3390/ijerph121012905

• environmental monitoring
• expectation maximization (EM) algorithm
• gamma distribution
• maximum order statistic
• non-detect
• nonparametric
• outlier detection
• ProUCL
• regression on order statistics (ROS)
• upper tolerance limit (UTL)

ProUCL is a software package made available by the Environmental Protection Agency (EPA) to provide environmental scientists with better tools with which to conduct statistical analyses. ProUCL has been in production for over ten years and is in its fifth major version. In time, it has included more sophisticated and appropriate analysis tools. However, there is still substantial criticism of it among statisticians for its various omissions and even its philosophical approach. Due to limited resources, some state agencies have set ProUCL as a standard by which all state-mandated environmental analyses are compared, despite the EPA's more open acceptance of other software products and methodologies. As such, it can be difficult for state-supervised sites to convince the state to allow the use of more appropriate methodologies or different software. In the current case study, several such instances arose and substantial resources were invested to demonstrate the appropriateness of alternative methodologies, sometimes without acquiring acceptance by the state despite sound statistical demonstration. In particular, efforts were made to address: inappropriate outlier detection, upper tolerance limit (UTL) calculations based on gamma distributions when non-detects were present, and inappropriate use of nonparametric UTL formulas.

• 出版日期2015-10