Sentence examples for methods for confidence from inspiring English sources

Thus, in the presence of a weaker IV, more robust methods for confidence interval calculation may be needed, such as bootstrapping.

Continuous variables with an approximately normal distribution are best analyzed using parametric methods for confidence intervals and hypothesis tests [ 4, 5].

Chemical named entity recognition (NER) in general has been reviewed by Banville [1] and methods for confidence-based chemical NER have been evaluated by Corbett and Copestake [12].

Finally, we used a bootstrap method for confidence interval estimation in which 1,000 random samples equal in size to the original sample were drawn, with replacement, from each of the samples used to generate the first-stage and reduced-form estimates.

We also present two methods for constructing confidence intervals.

EL methods for estimating confidence intervals have also been discussed.

The Bland and Altman method showed no statistical significant difference between the two spectrometric methods for 95% confidence interval.

We describe and illustrate two methods for estimating confidence intervals (CIs) around absolute and relative changes in outcomes calculated from segmented regression parameter estimates.

We propose jackknife empirical likelihood (EL) methods for constructing confidence intervals of mean with regression imputation that allows ignorable or nonignorable missingness.

The adjusted value, say c ∗, is found empirically, in a simulation experiment using synthetic datasets; see DiCiccio and Efron (1996, notably sec. 7) for bootstrap methods for approximating confidence sets.

In that case, t*×(nu+mv) has a Poisson distribution, and we can use accepted methods for calculating confidence intervals for a Poisson parameter [39].