Article ID Journal Published Year Pages File Type
1148037 Journal of Statistical Planning and Inference 2012 6 Pages PDF
Abstract
Random coefficients may result in heteroscedasticity of observations. For particular situations, where only one observation is available per individual, we derive optimal designs based on the geometry of the design locus.
Keywords
Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
Preview
Optimal design for linear regression models in the presence of heteroscedasticity caused by random coefficients
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