Abstract:
:Dose-response models are intensively used in herbicide bioassays. Despite recent advancements in the development of new herbicides, statistical analyses are commonly based on asymptotic approximations that are sometimes poor. This paper presents the use of recent results in higher order asymptotics for likelihood-based inference in nonlinear regression. The methods presented provide accurate approximation for the distribution of test statistics and for prediction limits. Analyses of the fit and measures of detection limits of the bioassays are considered, and the potential of the methods is illustrated by examples with real data.
journal_name
Biometricsjournal_title
Biometricsauthors
Bellio R,Jensen JE,Seiden Pdoi
10.1111/j.0006-341x.2000.01204.xsubject
Has Abstractpub_date
2000-12-01 00:00:00pages
1204-12issue
4eissn
0006-341Xissn
1541-0420journal_volume
56pub_type
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