Statistical tools for determining appropriate selection of regression models for analysis of environmental fate datasets

被引:6
作者
Aldworth, Jeremy [2 ]
Jackson, Scott H. [1 ]
机构
[1] BASF Corp, Res Triangle Pk, NC 27709 USA
[2] RTI Int, Res Triangle Pk, NC 27709 USA
关键词
regression model; non-linear; guideline study; rate constant; DT50;
D O I
10.1002/ps.1537
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
BACKGROUND: In the NAFTA regulatory community, a currently consistent methodology used to estimate dissipation times for environmental fate data is not applied. RESULTS: This work demonstrates through a case study that the inappropriate use of pseudo-first-order regression models can result in inaccurate estimates of soil degradation rates, and it proposes some statistical tools that can be used to identify an appropriate statistical model to fit a particular environmental fate dataset. Diagnostic procedures have been proposed to identify the appropriate scale, and statistical testing procedures have been proposed to select the appropriate model within that scale. CONCLUSION: Results from this work demonstrate that, unless the proposed diagnostic and statistical procedures are used, inaccurate estimates of dissipation times may result. (c) 2008 Society of Chemical Industry.
引用
收藏
页码:536 / 543
页数:8
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