caa a22 4500 378929771 CHVBK 20180305123626.0 cr unu---uuuuu 161128e20040518xx s 000 0 eng 10.2202/1558-3708.1217 doi (NATIONALLICENCE)gruyter-10.2202/1558-3708.1217 Experimental Design for Time-Dependent Models with Correlated Observations [Elektronische Daten] [Dariusz Ucinski, Anthony C. Atkinson] We describe an algorithm for the construction of optimum experimental designs for the parameters in a regression model when the errors have a correlation structure. Our example is drawn from chemical kinetics, so that the model is nonlinear. Our algorithm has been implemented to be used when the model consists of a set of differential equations for which only numerical solutions ar available. However, the algorithm can also be used for standard regression models when the errors are correlated. The paper concludes with some discussion of outstanding issues in optimum design with correlated errors. ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston Ucinski Dariusz University of Zielona Gora, Poland, D.Ucinski@irio.pz.zgora.pl aut Atkinson Anthony C. London School of Economics, a.c.atkinson@lse.ac.uk aut Studies in Nonlinear Dynamics & Econometrics De Gruyter 8/2(2004-05-18) 8:2 2004 8 snde https://doi.org/10.2202/1558-3708.1217 text/html Onlinezugriff via DOI 1 research article jats NATIONALLICENCE 856 40 https://doi.org/10.2202/1558-3708.1217 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ucinski Dariusz University of Zielona Gora, Poland, D.Ucinski@irio.pz.zgora.pl aut NATIONALLICENCE 700 1- Atkinson Anthony C. London School of Economics, a.c.atkinson@lse.ac.uk aut NATIONALLICENCE 773 0- Studies in Nonlinear Dynamics & Econometrics De Gruyter 8/2(2004-05-18) 8:2 2004 8 snde CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-gruyter