JSM 2005 Online Program

Abstract #303508

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page

Legend:

= Applied Session,

= Theme Session,

= Presenter

Activity Number:	200
Type:	Contributed
Date/Time:	Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Statistics and the Environment
Abstract - #303508
Title:	Model-based Tests for Evaluation of Water Quality
Author(s):	Zhengrong Li*+ and Eric P. Smith
Companies:	Virginia Polytechnic Institute and State University and Virginia Polytechnic Institute and State University
Address:	403W Hutcheson Hall, Blacksburg, VA, 24061-0439, United States
Keywords:	tolerance limit ; one-way random effect ; non-central t distribution ; standard
Abstract:	Water quality is assessed at specific sites under the Clean Water Act. One approach for the evaluation of the quality is to use a one-sided tolerance limit or test based on approximate noncentral t distribution. Often, sample sizes for the test are small, and there is loss of power for evaluating compliance. One possibility is to include the data from several sites in a model and calculate the test statistic based on estimates from the model. An example of one-way random-effects balanced model is given to illustrate the approach and to compare the approach with other methods. Under the assumption the variance ratio is known, simulations are conducted to reveal the power of this method compared with other methods for calculating random tolerance intervals assuming homogeneous or heterogeneous sites.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2005 program