Linear mixed models (LMMs) serve as a versatile statistical framework, combining fixed effects that capture the overall trends with random effects that account for variability across subjects, ...

Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 58, No. 1 (Apr., 1996), pp. 1-9 (9 pages) In this paper, by assuming a general progressive Type-II censored sample, we derive the ...

This is a preview. Log in through your library . Abstract The authors develop a small area estimation method using a nested error linear regression model and survey ...

SAS/INSIGHT fit analysis provides the traditional parametric regression analysis assuming that the regression function is linear in the unknown parameters. The relationship is expressed as an equation ...

SAS/STAT software contains two procedures for fitting general linear models to panel data. The GLM procedure fits general linear models involving fixed effects. The more general MIXED procedure fits ...