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Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation. <i>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems</i>, <i>PP</i>(99), 1–1. <a href=\"https://doi.org/10.1109/TCAD.2016.2547908\">https://doi.org/10.1109/TCAD.2016.2547908</a>","ama":"Ghasemzadeh Mohammadi H, Gaillardon P-E, De Micheli G. Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation. <i>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems</i>. 2016;PP(99):1-1. doi:<a href=\"https://doi.org/10.1109/TCAD.2016.2547908\">10.1109/TCAD.2016.2547908</a>","ieee":"H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, and G. De Micheli, “Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation,” <i>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems</i>, vol. PP, no. 99, pp. 1–1, 2016.","chicago":"Ghasemzadeh Mohammadi, Hassan, Pierre-Emmanuel Gaillardon, and Giovanni De Micheli. “Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation.” <i>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems</i> PP, no. 99 (2016): 1–1. <a href=\"https://doi.org/10.1109/TCAD.2016.2547908\">https://doi.org/10.1109/TCAD.2016.2547908</a>."},"page":"1-1","issue":"99"}]