Abstract:
:We develop locally D-optimal designs for nonlinear models when the variance of the response is a function of its mean. Using the two-parameter Michaelis-Menten model as an example, we show that the optimal design depends on both the type of heteroscedasticity and the magnitude of the variation. In addition, our results suggest that the homoscedastic D-optimal design has high efficiency under a broad class of heteroscedastic patterns and that it is fairly insensitive to nominal values of the parameters.
journal_name
Biometricsjournal_title
Biometricsauthors
Dette H,Wong WKdoi
10.1111/j.0006-341x.1999.00925.xsubject
Has Abstractpub_date
1999-09-01 00:00:00pages
925-9issue
3eissn
0006-341Xissn
1541-0420journal_volume
55pub_type
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