JSM 2005 Online Program

Abstract #302407

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.

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Activity Number:	167
Type:	Invited
Date/Time:	Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Statistics and the Environment
Abstract - #302407
Title:	Iterated Confirmatory Factor Analysis for Pollution Source Apportionment
Author(s):	William F. Christensen*+
Companies:	Brigham Young University
Address:	Department of Statistics, Provo, UT, 84602-6575,
Keywords:	Air quality modeling ; Latent variable models ; Chemical mass balance
Abstract:	Many approaches for pollution of the nature of the pollution source profiles but are still able to produce nonnegative and physically realistic estimates of pollution source contributions. Confirmatory factor analysis can yield a physically interpretable and uniquely estimable solution, but requires that at least some of the rows of the source profile matrix be known. In this talk, we discuss the iterated confirmatory factor analysis (ICFA) approach. ICFA can take on aspects of chemical mass balance analysis, exploratory factor analysis, and confirmatory factor analysis by assigning varying degrees of constraint to the elements of the source profile matrix when iteratively adapting the hypothesized profiles to conform to the data. ICFA is illustrated using $\mbox{PM}_{2.5}$ data from Washington, DC, and a simulation study illustrates the relative strengths of ICFA, chemical mass balance approaches, and positive matrix factorization.

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