In order to obtain reasonable estimates of the contextual-cueing effect, the data of five consecutive blocks were pooled into one "epoch" (see Chun & Jiang, 1998), resulting in four experimental epochs.
A variety of regression techniques have been applied in the second stage to estimate the impact of contextual factors on efficiency, including the ordinary least squares (OLS) and the maximum likelihood (ML) based probit, logit, and truncated regression (Tobit).
The current study extends this work by obtaining self-reported estimates of focus on contextual sexual relevance in addition to the other three dimensions.
Thus, prioritization may be based on central tendency (e.g., median) or sensitive subpopulation (population quantile) estimates of activity, depending on contextual suitability.
hazard scenarios required to model tephra clean-up operations; a conceptual framework for clean-up operation response to inform estimates of tephra removal volumes; local contextual information required for modelling tephra clean-up operations; and.
This includes discussion of: hazard scenarios required to model tephra clean-up operations; a conceptual framework for clean-up operation response to inform estimates of tephra removal volumes; local contextual information required for modelling tephra clean-up operations; and applying or developing appropriate equations to assess duration and cost of clean-up operations.
The study demonstrated the utility of rapid assessment of SCR for obtaining realistic estimates of MTI and provided important contextual information to aid interpretation of the results from the IPTi study.
We have shown quantitatively and qualitatively that recurrent combination of contextual features substantially enhances the initial estimates of local contrast.
It is hoped that routine data and impact estimates will be considered together with a frank review of contextual program, operational, cultural, and policy realities.
Estimating peer effects with observational data is very difficult because of contextual confounding, peer selection, simultaneity bias, and measurement error, etc.
