TY - JOUR
T1 - Design issues for population growth models
AU - Fidalgo, J. López
AU - Rodríguez, I. M.Ortiz
AU - Wong, Weng Kee
N1 - Funding Information:
The research work of Wong was partially supported by the NIH grant R01GM072876. This work was also sponsored by Ministerio de Educación y Ciencia and Fondos FEDER MTM2007 67211 C03-01/03 and Junta de Comunidades de Castilla-La Mancha PAI07-0019-2036.
PY - 2011/3
Y1 - 2011/3
N2 - We briefly review and discuss design issues for population growth and decline models. We then use a flexible growth and decline model as an illustrative example and apply optimal design theory to find optimal sampling times for estimating model parameters, specific parameters and interesting functions of the model parameters for the model with two real applications. Robustness properties of the optimal designs are investigated when nominal values or the model is mis-specified, and also under a different optimality criterion. To facilitate use of optimal design ideas in practice, we also introduce a website for generating a variety of optimal designs for popular models from different disciplines.
AB - We briefly review and discuss design issues for population growth and decline models. We then use a flexible growth and decline model as an illustrative example and apply optimal design theory to find optimal sampling times for estimating model parameters, specific parameters and interesting functions of the model parameters for the model with two real applications. Robustness properties of the optimal designs are investigated when nominal values or the model is mis-specified, and also under a different optimality criterion. To facilitate use of optimal design ideas in practice, we also introduce a website for generating a variety of optimal designs for popular models from different disciplines.
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U2 - 10.1080/02664760903521419
DO - 10.1080/02664760903521419
M3 - Review article
AN - SCOPUS:79551502062
SN - 0266-4763
VL - 38
SP - 501
EP - 512
JO - Journal of Applied Statistics
JF - Journal of Applied Statistics
IS - 3
ER -