Once data become available in Mexico on the real ages at which children receive the vaccine (as compared to the ideal 2, 4, and 6 month vaccination schedule modelled here) it will be possible to model the expected reduction in benefit associated with delays in vaccination.
Regression modeling, time-series modeling, pattern recognition modeling and stochastic process modeling are tested to model the expected occupancy status and their performances are compared in terms of the degree of statistical approximation to actual occupancy.
We also model the expected probability of route establishment.
In this model, the expected value and variance impact of probable scenarios have been considered.
On the other hand, using the Market Model, the Expected Return is derived from the relation of a certain security with the market portfolio.
Clearly, q i (s) is presented to model the expected one-hop throughput that sender s can achieve at time (t_{i}in mathcal {T}(s)).
It is worth to mention that in the nonlinear model, the expected value of the potential outcome is not zero as in the linear specification.
A new scoring model, the Expected Relative Frequency model, is presented, based on the closeness between central values provided by the expert and known values used for calibration.
An approach has been developed to model the expected productivity of systems with path-dependent productivities, in an accurate and efficient manner.
In other words, if the selected codewords are used to train the regression model, the expected prediction error can be minimized.
Furthermore, the CPS must be able to detect abnormal behavior so we have to analyze past sensors' reports and model the expected behavior overtime using data mining techniques [12].
