From turtle2@u.washington.edu Mon Nov 3 09:03:41 1997 Received: from jason01.u.washington.edu (root@jason01.u.washington.edu [140.142.70.24]) by lists.u.washington.edu (8.8.4+UW97.07/8.8.4+UW97.05) with ESMTP id JAA53970 for ; Mon, 3 Nov 1997 09:03:39 -0800 Received: from homer14.u.washington.edu (turtle2@homer14.u.washington.edu [140.142.70.15]) by jason01.u.washington.edu (8.8.4+UW97.07/8.8.4+UW97.05) with ESMTP id JAA32064; Mon, 3 Nov 1997 09:03:37 -0800 Received: from localhost (turtle2@localhost) by homer14.u.washington.edu (8.8.4+UW97.07/8.8.4+UW97.04) with SMTP id JAA43974; Mon, 3 Nov 1997 09:03:35 -0800 Date: Mon, 3 Nov 1997 09:03:34 -0800 (PST) From: Lorna Fitzpatrick Reply-To: Lorna Fitzpatrick To: "C.E. Graduate Students" cc: Mariabeth Silkey Subject: NRCSE ENVIRONMENTAL SEMINAR TUESDAY, NOV. 4 (fwd) Message-ID: MIME-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII The National Research Center for Statistics and the Environment ENVIRONMENTAL SEMINAR SERIES PRESENTS: James Hilden-Minton National Institute of Statistical Sciences "Multilevel Monitoring of Drinking Water Systems" Tuesday, November 4th, 3:30 - 5:00, SMITH HALL, Room 211 State and federal laws require drinking water treatment facilities to sample periodically for specific contaminants and report findings to state authorities who are responsible for enforcing federal and state standards. The regulatory goal of this program is to prevent any state resident from receiving unsafe drinking water. This goal is not always achieved; for at least one contaminant the proportion of residents receiving unlawful levels of contaminant may have been as high as 3% over a recent three-year period. Our multilevel model tracks contaminant levels at individual facilities. Sampling is usually sparse at any one facility, but the model allows us to share information across facilities, strengthening facility-specific inference. The model accommodates differing sources of uncertainty and heterogeneous facility process variance. We are therefore able to quantify the uncertainty in our population estimates and identify facilities for which current monitoring is insufficient for reliable inference. The modeling effort involves more that the determination of empirical Bayes estimators; it also provided an information tool for regulators to gain insight into a statewide monitoring program. (To request disability accommodations, contact the Office of the ADA Coordinator, at least 10 days in advance of the event. 543-6452(voice); 543-6452 (TDD); 685-3885(FAX);access@u.washington.edu) .