Resource title

Locally D-optimal Designs for Exponential Regression

Resource image

image for OpenScout resource :: Locally D-optimal Designs for Exponential Regression

Resource description

We study locally D-optimal designs for some exponential models that are frequently used in the biological sciences. The model can be written as an algebraic sum of two or three exponential terms. We show that approximate locally D-optimal designs are supported at a minimal number of points and construct these designs numerically.

Resource author

Weng Kee Wong, Viatcheslav B. Melas, Holger Dette

Resource publisher

Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/22533

Resource license

Adapt according to the presented license agreement and reference the original author.