"On the use of statistical models to predict crop yield responses to climate change".
Introduction to the use of statistical models, as relevant for decision making and data interpretation in policy contexts.
Previous projects have included the use of contact network models to assess influenza control measures, and the use of statistical models to assess determinants of HIV risk behavior.
Introduction to the use of statistical models and their application in quantitative policy analysis and data interpretation in policy contexts, with an emphasis on regression analysis, aiming to enable students to become intelligent and capable consumers and producers of regression analyses.
The Tele-epidemiology approach, i.e., 1) intensive ground measurements (Anopheles larval habitats and Human Biting Rate, or HBR), 2) selection of the most appropriate satellite data (for mapping and extracting environmental and meteorological information), and 3) use of statistical models taking into account the spatio-temporal data variability has been applied in Dakar, Senegal.
One promising approach to include these uncertainties in the design procedure is the use of statistical models: the design parameter is defined by a mean value and its deviation.
All these technologies make heavy use of statistical models of human language.
An alternative and more objective approach is the use of statistical models to identify cell subsets of interest in an automated fashion.
The use of statistical models is however restricted to the category of buildings the model was constructed for, limiting the general applicability of the model.
These results are based on the use of statistical models to forecast future change and the many assumptions inherent to this process.
The results show that the use of statistical "models", such as the Cox Model, is not considered by the researchers as qualifying a work as in the field of MME, while conversely, Monte Carlo simulations, Markov models and differential equations are.
