introduction: fao aquacrop model (raes et al., 2009a; steduto et al., 2009) is a user-friendly and practitioner oriented type of model, because it maintains an optimal balance between accuracy, robustness, and simplicity; and it requires a relatively small number of model input parameters. the fao aquacrop model predicts crop productivity, water requirement, and water use efficiency under water...

Measures of decision sensitivity that have been applied to medical decision problems were examined. Traditional threshold proximity methods have recently been supplemented by probabilistic sensitivity analysis, and by entropy-based measures of sensitivity. The authors propose a fourth measure based upon the expected value of perfect information (EVPI), which they believe superior both methodolo...

BACKGROUND The present study is an economic evaluation comparing transoral robotic surgery (TORS) to (chemo)radiotherapy for the management of early T-classification oropharyngeal cancer. METHODS A societal perspective was adopted. Treatment for TORS and (chemo)radiotherapy were modeled using decision analysis and recurrences were modeled over a 10 year horizon with a Markov model. Model para...

We describe a mechanism for performing probabilistic reasoning in influence diagrams us­ ing interval rather than point valued probabilities. We derive the procedures for node removal (corresponding to conditional expectation) and arc reversal (corresponding to Bayesian condi­ tioning) in influence diagrams where lower bounds on probabilities are stored at each node. The resulting bounds for th...

in this paper, we study the classical sensitivity analysis when the right - hand – side vector, and the coefficients of the objective function are allowed to vary.

metric (mapping evapotranspiration at high resolution with internalized calibration) is known as an appropriate surface energy balance model for the estimation of the spatial distribution of evapotranspiration (et) in semi-arid regions. based on lysimeter measurements, metric has shown et estimates of 10% on a sub-field scale on a daily basis. there is a need to identify how the model is sensit...