Linearization has the clear advantage of requiring much less computational time. The JRR procedure, by comparison, is more attractive because the same variance estimation formula can be applied to different types of statistics. Both linearized and resampling methodologies can be extended to longitudinal samples and to measures developed over multiple cross-sections.