Sentence examples for estimated preference from inspiring English sources

M=2 and ε=10 % Fig. 15 Graph of the PSNR losses of the proposed technique vs. the relative entropy of the estimated preference distribution with respect to perfect estimation p c=50%%.

M=2 and ε=10 % Table 13 PSNR losses of the proposed technique and relative entropy of the estimated preference distribution with respect to the perfect estimation p c=50%%.

Brazier and his colleagues simplified these into six dimensions, obtained preference scores and estimated preference weights from the general population using the standard gamble technique [ 17, 18].

We also used the same approach to compare estimated preference weights in the samples from the public and patients who had both completed the questionnaire under scenario A. However, prior to doing this analysis, we used the propensity score method to select a subsample of the public that were similar to the sample of patients in terms of age, education, income, and having dependent children.

Using the estimated preference parameters, we can divide households into dictatorship and split might regimes.

Let us now have a look at the implication of this on the couples' location in the different regimes discussed in Section 2. On the basis of the estimated preference parameters in Table 2, the expected numbers of couples in each of the (sub regimes can be calculated; they depend on the estimated values of β vis-à-vis that of α (see equations (14) and (15)), as well as on the wage ratios.

Importantly, our methodology does not seem to bias the estimation of mating preferences since estimated preferences for BMI are qualitatively similar to preferences reported in other studies that rely on other protocols [e.g. 21], [46].

We estimated preferences for attribute-levels and relative importance of attributes using conditional and nested logit models.

Policy-makers may wish to adjust estimated preferences if these reflect past inequities in health funding rather than the true production possibilities.

Our robustness index is a metric of the allowed variation between the actual and estimated preferences for which the set of non-eliminated trial designs (which could be singleton) will not change.

We firstly estimated preferences of each individual by using a software in which one can directly manipulate the body shape (stature and BMI) of a virtual silhouette to represent his/her preferences.