Experimental Design for Time-Dependent Models with Correlated Observations

Verfasser / Beitragende:
[Dariusz Ucinski, Anthony C. Atkinson]
Ort, Verlag, Jahr:
2004
Enthalten in:
Studies in Nonlinear Dynamics & Econometrics, 8/2(2004-05-18)
Format:
Artikel (online)
ID: 378929771
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024 7 0 |a 10.2202/1558-3708.1217  |2 doi 
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245 0 0 |a Experimental Design for Time-Dependent Models with Correlated Observations  |h [Elektronische Daten]  |c [Dariusz Ucinski, Anthony C. Atkinson] 
520 3 |a 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. 
540 |a ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston 
700 1 |a Ucinski  |D Dariusz  |u University of Zielona Gora, Poland, D.Ucinski@irio.pz.zgora.pl  |4 aut 
700 1 |a Atkinson  |D Anthony C.  |u London School of Economics, a.c.atkinson@lse.ac.uk  |4 aut 
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950 |B NATIONALLICENCE  |P 700  |E 1-  |a Atkinson  |D Anthony C.  |u London School of Economics, a.c.atkinson@lse.ac.uk  |4 aut 
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