Abstract
Weighted exponential model is used as a growth curve. We introduce locally D-optimal design for weighted exponential model with three parameters. The assumption of this model ishomoscedastic error. D-optimal criterion is a criterion which is the value of standardized variance less than or same the number of parameters. The design in this paper, number of supported designis three and have same weight 1/3. Determination of the supported designs by maximizing the determinant of the information matrix. We present this formula, this is a nonlinear model, so to maximizing it we use numerically aproach.
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