The mean of response variable is
f(x, \bold{θ}) = θ0 + θ1 x/(x + θ2)
.
1  FIM_emax_3par(x, w, param)

x 
vector of design points. 
w 
vector of design weight. Its length must be equal to the length of 
param 
vector of model parameters \bold{θ} =(θ0, θ1, θ2). 
The model has an analytical solution for the locally Doptimal design. See Dette et al. (2010) for more details.
The Fisher information matrix does not depend on θ0.
Fisher information matrix.
Dette, H., Kiss, C., Bevanda, M., & Bretz, F. (2010). Optimal designs for the EMAX, loglinear and exponential models. Biometrika, 97(2), 513518.
Other FIM: FIM_comp_inhibition
,
FIM_exp_2par
, FIM_exp_3par
,
FIM_logisitic_1par
,
FIM_logistic_4par
,
FIM_logistic
, FIM_loglin
,
FIM_michaelis
,
FIM_mixed_inhibition
,
FIM_noncomp_inhibition
,
FIM_power_logistic
,
FIM_uncomp_inhibition
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