Although inferences made from any model, including the best models, are always conditional on the truth of the model's assumptions, the likelihood of this truth increases as the model withstands elimination.
To make the mechanism by which θ i influences (M_{i}^{ast }) and of (D_{i}^{ast }) perspicuous, we integrate out θ i and obtain the distributions of ( M_{i}^{ast }) and (D_{i}^{ast }) conditional on the parameters of the model and on the data.
Outbreaks were simulated by using a discrete time, stochastic susceptible-exposed-infectious-removed model; equation 5 gives the expected value of each compartment in the model, conditional on the value of all states at the previous time.
Poor accuracy of the model does not produce uncertainties in the assigned probability of X, as the probability is conditional on the use of this model.
Our proposed method makes use of conditional regression models (testing the effect of one predictor conditional on the inclusion of another in the regression model).
For a regression model θ = β, σ2, all probabilities are implicitly conditional on the set of all models being considered.
Results from a Hausman test (p < 0.01) of our baseline models (Table 1), which assesses if the unobserved heterogeneity assumption of random-effects model holds (conditional on the correct specification of the fixed-effects model), suggest that a fixed-effects specification may be preferable.
The partial results of a case study with an input-intensive and an input-extensive crop (ware potato and winter wheat, respectively) showed that site specific nitrogen management led to positive returns over variable costs compared to uniform N-application, conditional on the validity of the WAVE model used in simulating yield effects.
Of course, the interpretations are conditional on the validity of the assumed model.
Our model is conditional on the sustained effect of all interventions for the duration of the model (15 years).
