Sentence examples for the complexity of estimating from inspiring English sources

Due to the complexity of estimating this uncertainty, it is often assessed solely by engineering judgment.

Most of the existing algorithms fall into the first category because the translation is the most commonly encountered motion and the complexity of estimating translation parameters is relatively low for real-time stabilization.

The broad distribution of ENFs across climatic gradients adds to the complexity of estimating fluxes for large regions and widespread vegetation types, since the sensitivity of fluxes for different ENF ecosystems to climate variability is not completely understood.

Because of the complexity of estimating these extended distributions and the minimal potential benefit of doing so, we continue to recommend the three-parameter generalized gamma as the standard for parametric analysis of positive data.

Given the complexity of estimating power for HLM models, these calculations are based upon a more simple repeated measures ANOVA model [ 59], with an attrition rate (i.e., not followed after baseline assessment) estimated to be 15%.

First, the exposures to the multiple pollutants of concern need to be estimated; this may prove difficult because of the complexity of estimating exposures to pollutants as they vary spatially and temporally.

Despite these successes, designing ACP schemes continues to be a challenging task given the complexities of estimating the multidimensional effects of this type of strategy.

Our choice was to use a Bayesian binomial model, which has a number of advantages over classical meta-analysis techniques that are particularly important given the complexities of estimating rare event rates [141, 142] (for details, see supplemental digital content 2).

Future efforts should explore these issues in light of the complexities of estimating costs and cost savings from existing field studies.

The models clearly illustrate the complexities of estimating influenza transmission and the potential success of interventions (i.e., such models require a very large set of variables, many with uncertain values).

The complexities of estimating N e in populations showing some degree of geographical continuity are increasingly acknowledged [ 73], and we tentatively suggest that the N e estimate in LIL based on IMa should be interpreted more broadly as encompassing LIL and neighboring populations contributing to gene flow.