2012
DOI: 10.1007/s00362-012-0438-1
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Simultaneous choice of time points and the block design in the growth curve model

Abstract: The aim of this paper is to consider the optimality in the growth curve model with respect to two aspects: time and the block design and to show some relations between information functions for different designs. The A-, D-and E-optimality are studied.

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Cited by 3 publications
(1 citation statement)
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“…The GCM is originally introduced by Potthoff and Roy (1964), and subsequently studied by many authors, such as Szczepańska (2013), Song, Wang (2014), Song, Chang (2016), etc. GCM has been applied in many fields, such as block design (Szczepańska 2013), eco-efficiency assessment (Egilmez et al 2016), unbiased estimators (Song, Wang 2014), equalities proof of various estimators in GCM (Song, Chang 2016) and so on. The GCM belongs to a biological changing based curve model, which is always applied to describe the variation of the variables with time changing.…”
Section: The Gcmmentioning
confidence: 99%
“…The GCM is originally introduced by Potthoff and Roy (1964), and subsequently studied by many authors, such as Szczepańska (2013), Song, Wang (2014), Song, Chang (2016), etc. GCM has been applied in many fields, such as block design (Szczepańska 2013), eco-efficiency assessment (Egilmez et al 2016), unbiased estimators (Song, Wang 2014), equalities proof of various estimators in GCM (Song, Chang 2016) and so on. The GCM belongs to a biological changing based curve model, which is always applied to describe the variation of the variables with time changing.…”
Section: The Gcmmentioning
confidence: 99%