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RECORD NUMBER: 8 OF 8

OLS Field Name OLS Field Data
Main Title Using Linear and Polynomial Models to Examine the Environmental Stability of Viruses (Chapter 7).
Author Hurst, C. J. ;
CORP Author Environmental Protection Agency, Cincinnati, OH. Risk Reduction Engineering Lab. ;American Society for Microbiology, Washington, DC.
Publisher c1991
Year Published 1991
Report Number EPA/600/D-91/058;
Stock Number PB91-182717
Additional Subjects Viruses ; Statistical models ; Regression analysis ; Water microbiology ; Soil microbiology ; Waste water ; Sewage ; Soil water ; Soil chemistry ; Reprints ; Environmental stability
Holdings
Library Call Number Additional Info Location Last
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Status
NTIS  PB91-182717 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 09/04/1991
Collation 27p
Abstract
The article presents the development of model equations for describing the fate of viral infectivity in environmental samples. Most of the models were based upon the use of a two-step linear regression approach. The first step employs regression of log base 10 transformed viral titer ratios from various sampling dates as the dependent variable versus the length of time that the viruses were incubated in the test material as the independent variable. The slope values derived from this first step of the regression technique are then used as the dependent variable in the second step of the analysis, when they are linearly regressed against either a single independent variable such as soil moisture level or incubation temperature, or against a set of independent variables in a multiple regression. A variety of examples based upon experimental data were used to demonstrate the application and benefits of this two-step regression technique.