We begin by estimating the knowledge-production function in order to test for interregional difference with regard to the efficiency of innovation activities.
This is achieved by estimating the learner's current knowledge in a discrete model of this problem space, and by using this representation to present the learner with problems at the level of difficulty required to maintain the desired success rate.
To the best of our knowledge, such a method for estimating a risk of error from a test situation is not described by others, and may be a contribution to future research.
The current study was designed to address this dearth of knowledge by estimating the prevalence of street racing among the Ontario, Canada adult population, and examining its association to collision risk, controlling for demographics and other risk factors.
We aim to address these gaps in knowledge by estimating the associations of maternal and paternal preconceptional serum concentrations of POPs on birth size.
Our analysis addresses this gap in knowledge by estimating the magnitude of past spending on CVD (heart and peripheral vascular disease) research from the non-profit (public/charitable) sector in Canada from 1975 to 2005.
The current study added to this existing knowledge base by estimating genetic and environmental effects on DUIs and DWIs in a sample of twins drawn from the National Longitudinal Study of Adolescent Health Add Healthh).
Estimating an optimal set of parameters by optimization algorithms requires knowledge of the sensitivity of the process of interest to model parameters.
Our results extend knowledge of the H3N2 influenza pandemic, firstly by including data from a much wider geographic range of settings than has been previously analyzed and secondly by estimating transmissibility during both pandemic waves for multiple settings.
Assuming a perfect channel knowledge scenario, a channel matrix [8] specified by estimated CSIs is normally used for equalizing in the frequency domain.
