Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/11511
Title: On the consequences of misspecifing assumptions concerning residuals distribution in a repeated measures and nonlinear mixed modelling context
Author: El Halimi, Rachid
Ocaña i Rebull, Jordi
Keywords: Estadística
Mètodes de simulació
Statistics
Simulation methods
Issue Date: 2004
Series/Report no: Documents de recerca del Departament d'Estadística -UB;3
Abstract: In this paper we describe the results of a simulation study performed to elucidate the robustness of the Lindstrom and Bates (1990) approximation method under non-normality of the residuals, under different situations. Concerning the fixed effects, the observed coverage probabilities and the true bias and mean square error values, show that some aspects of this inferential approach are not completely reliable. When the true distribution of the residuals is asymmetrical, the true coverage is markedly lower than the nominal one. The best results are obtained for the skew normal distribution, and not for the normal distribution. On the other hand, the results are partially reversed concerning the random effects. Soybean genotypes data are used to illustrate the methods and to motivate the simulation scenarios
Note: Reproducció digital del document original
URI: http://hdl.handle.net/2445/11511
Appears in Collections:Documents de treball (Genètica, Microbiologia i Estadística)

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