The Annals of Applied Statistics

Elevated soil lead: Statistical modeling and apportionment of contributions from lead-based paint and leaded gasoline

R. Dennis Cook and Liqiang Ni

Full-text: Open access

Abstract

While it is widely accepted that lead-based paint and leaded gasoline are primary sources of elevated concentrations of lead in residential soils, conclusions regarding their relative contributions are mixed and generally study specific. We develop a novel nonlinear regression for soil lead concentrations over time. It is argued that this methodology provides useful insights into the partitioning of the average soil lead concentration by source and time over large residential areas. The methodology is used to investigate soil lead concentrations from the 1987 Minnesota Lead Study and the 1990 National Lead Survey. Potential litigation issues are discussed briefly.

Article information

Source
Ann. Appl. Stat., Volume 1, Number 1 (2007), 130-151.

Dates
First available in Project Euclid: 29 June 2007

Permanent link to this document
https://projecteuclid.org/euclid.aoas/1183143732

Digital Object Identifier
doi:10.1214/07-AOAS112

Mathematical Reviews number (MathSciNet)
MR2393844

Zentralblatt MATH identifier
1129.62112

Keywords
Assigned scores nonlinear models transform-both-sides

Citation

Cook, R. Dennis; Ni, Liqiang. Elevated soil lead: Statistical modeling and apportionment of contributions from lead-based paint and leaded gasoline. Ann. Appl. Stat. 1 (2007), no. 1, 130--151. doi:10.1214/07-AOAS112. https://projecteuclid.org/euclid.aoas/1183143732


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