1 In this paper, the necessity for treating intra-household correlation is investigated by analyzing 2 two travel behavior indices, i.e. travel time and travel distance, for three important travel motives 3 (commuting, shopping, and leisure). Data stemming from the 2010 Belgian National Household 4 Travel Survey are used in the analysis. Two model approaches that accommodate for intra5 househol...

Rank-Based methods for iid linear models have been developed over the past 30 years. However, little work has been done in the area of mixed models. In this paper, we discuss a transformation approach to modeling a particular mixed model: one with an arbitrary number of fixed effects and covariates but only one random effect. Discussion of the asymptotic theory is given and the results of a sim...

ABSTRACT
 Premarital sexual behavior is that carried out between men and women without legal marriage. As the number of premarital sex increases, efforts need to take. One can do identify main factors contributing reducing or increasing by a Regression model. In context behavior, environmental influences cannot be ignored. GLMM used model data grouped into certain Groups, include environme...

Psycholinguistic data are often analyzed with repeated-measures analyses of variance (ANOVA), but this paper argues that mixed-effects (multilevel) models provide a better alternative method. First, models are discussed in which the two random factors of participants and items are crossed, and not nested. Traditional ANOVAs are compared against these crossed mixed-effects models, for simulated ...

Psycholinguistic data are often analyzed with repeated-measures analyses of variance (ANOVA), but this paper argues that mixed-effects (multilevel) models provide a better alternative method. First, models are discussed in which the two random factors of participants and items are crossed, and not nested. Traditional ANOVAs are compared against these crossed mixed-effects models, for simulated ...

Stepwise regression includes regression models in which the predictive variables are selected by an automated algorithm. The stepwise method involves two approaches, namely, backward elimination and forward selection. Currently, SAS has several regression procedures capable of performing stepwise regression. Among them are REG, LOGISTIC, GLMSELECT and PHREG. PROC REG handles linear regression m...

We discuss robust designs for generalized linear models with protection for possible departures from the usual model assumptions. Besides possible inaccuracy in an assumed linear predictor, both problems of overdispersion and misspecification in link function are addressed. For logistic and Poisson models, as examples, we incorporate the variance function prescribed by a superior model similar ...