As advanced traveler information systems become increasingly prevalent the importance of accurately estimating link travel times grows. Unfortunately, the predominant source of highway traffic information comes from single-loop loop detectors which do not directly measure vehicle speed. The...

A simple goodness-of-fit test is proposed for checking distributional assumptions in a model involving independent but not identically distributed random variables. The asymptotic distribution of the test statistic, which is similar to Pearson's [chi]2, is derived. The method is applied to...

In this short note, we propose a simplified adaptive fence procedure that reduces the computational burden of the adaptive fence procedure proposed by Jiang et al. [Jiang, J., Rao, J.S., Gu, Z., Nguyen, T., 2008. Fence methods for mixed model selection. Ann. Statist. 36, 1669-1692] for mixed...

Let y = X[beta] + Z[alpha] + [epsilon] be a mixed linear model, where [beta] is a vector of fixed effects, [alpha] is a vector of random effects, and [epsilon] is a vector of errors. Kackar and Harville (1984) showed that the best linear unbiased estimator (BLUE) of [beta] and the best linear...

We show the best linear unbiased predictor (BLUP) can be derived as the best predictor (under normality) based on all error contrasts (i.e., transformation of data with mean 0). The result reveals an interesting connection between BLUP and REML--restricted or residual maximum likelihood--estimates.