Sentence examples for estimates that minimize from inspiring English sources

Within the context of well-designed, randomized, controlled clinical trials, we have the ability to investigate new screening models in a safe, systematic manner, beginning with conservative estimates that minimize the chances of misclassification of risk and avoid underscreening.

On a different note, once an initial set of camera position estimates has been obtained, it may also be possible to build on an idea suggested in [31] and seek a refinement of these position estimates that minimize the overall ℓ 1 norm of the reconstructed image.

Specifically, we used a two-stage inverse variance weighting approach to account for both between-study variability and within-study individual effect estimates that minimize uncertainties based on spatial and temporal data availability (Hubbell et al. 2005).

Moreover, if one takes as their regression coefficient estimates those values that minimize the sum of the absolute values of the residuals instead of the sum of squared residuals, the result is an estimate of covariate effects on the median, instead of the mean, of the outcome distribution.

We use Monte Carlo simulations to estimate the average Fisher's information matrix associated to the PK problem, and then estimate the sampling points that minimize the maximum uncertainty associated to system parameters (a minimax criterion).

Yet other methods identify biclusters by proposing a statistical model and estimating the distribution parameters that minimize a certain model fit criterion [ 19- 25].

To ensure that minimal thermal injury is caused to the healthy tissue surrounding a cancerous site, we estimate the optimal dimensions that minimize scattering by the nanoshells for a desired value of the absorption efficiency.

In both cases, the optimization goal is to estimate the unknown parameters that minimize a scalar valued cost-function, by exploring the set of possible values in an allowed search space.

The novel standalone tool RNApvmin dynamically estimates a vector of pseudo-energies that minimize model adjustments and discrepancies between observed and predicted pairing probabilities.

We estimate the optimal n and m that minimize AIC.

The optimal estimates may be obtained by finding weights that minimize the mean square error (Olea 1999).