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- W1973129529 abstract "In lifetime data analysis and particularly in engineering reliability contexts, the Birnbaum–Saunders (BISA) density is often suggested as a suitable model; see Birnbaum and Saunders (1969), Mann et al. (1974), and Desmond (1985). A linear regression model, obtained from a logarithmic transformation of the response variable, is useful in studying the effect of covariates on the response variable; see Rieck and Nedelman (1991), Tsionas (2001) and Galea et al. (2004). In this paper, an extension of the log-linear regression model of Rieck and Nedelman (1991), which considers random effects, is introduced. From a Monte Carlo simulation study, the performance of various estimation and prediction methods are studied. The usefulness of the mixed log-linear model is stressed and compared to the pure fixed effects log-linear regression BISA model. The new model is used to analyze a real data set, for which a fixed effects model is inappropriate." @default.
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- W1973129529 date "2012-02-01" @default.
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- W1973129529 title "A mixed effects log-linear model based on the Birnbaum–Saunders distribution" @default.
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- W1973129529 doi "https://doi.org/10.1016/j.csda.2011.07.017" @default.
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