期刊
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
卷 13, 期 3, 页码 334-354出版社
AMER STATISTICAL ASSOC & INT BIOMETRIC SOC
DOI: 10.1198/108571108X335891
关键词
alphabetic optimality; D-optimal designs
资金
- NIEHS (NIH) [T32ES007334]
Classical optimal design theory may produce experimental designs that are biologically or characteristically inappropriate. Often, there is a particular study goal along with many practical experimental concerns that a researcher may wish to include in the optimal design process. This article provides a technique that allows a researcher to incorporate desired experimental characteristics into an adjusted optimal design criterion. This technique uses a weighted overall desirability function to penalize the optimal design criterion. A researcher may define an overall desirability function using any number of individual desirability functions to influence the properties of an optimal experimental design. The methodology is illustrated with two dose-response examples.
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