Risk is taken into account with the Mean Standard deviation method in which expected utility is calculated based on the expected income, the farm specific risk aversion parameter and the standard deviation of income (Freund 1956; Hazell and Norton 1986).
The results have shown effectiveness of the proposed method in achieving expected diagnosis accuracy for both known and unknown faults of rotatory bearing.
In an attempt to assess the validity of the measures, we could follow the axioms of von Neumann and Morgenstern, where the SG method has a basis in expected utility theory and is the standard technique for measuring decision making under uncertainty, implying that it gives a valid health-state utility by definition [ 34].
Our earlier work on graph-based approaches to NMR assignment, Jigsaw (Bailey-Kellogg et al., 2000) and random graph algorithms (Bailey-Kellogg et al., 2000; Kamisetty et al., 2006), were able to effectively uncover secondary structure patterns; our random graph model enabled us to prove that the randomized methods have optimal performance in expected polynomial time.
In the model, application of the modified TEE method was expected to result in major adaptations in 2.7% (95%CI: 2.3-3.1%) of all patients with detected atherosclerosis, similar to the influence of EU on intraoperative surgical management [ 40].
In this method, the expected value of the objective function is evaluated using numerical approaches.
For each method, the expected cases in a given month were defined by the previous 5 years of data and sequentially updated for each new observation year in the series.
In turn, this method is expected to reduce the bias inherent in our sample of museum locality data [41].
As shown in eqn (2a), before estimating Ne in the LD method, the expected contribution of sampling error is subtracted from the empirical.
The extended CAC method is expected to apply in multiscale modeling of more complex dislocation activities in crystalline materials up to μm scale.
