Sentence examples for method with replacement from inspiring English sources

In this study, a resampling method with replacement was applied to evaluate the reliability of border on the design space estimated by RSM-S.

Our approach is similar to Goodman and Sianesi (2005) and we use propensity score matching with the nearest neighbour method with replacement (as it has been shown to reduce bias relative to matching without replacement, see Dehejia and Wahba, 2002) and then used the common option so that off-support observations are automatically dropped.

All the sub counties and parishes in the HSDs were then listed and 50% of them were randomly selected using the ballot method with replacement.

The bootstrap method with replacement was used to assess the stability of the final model and to construct confidence intervals of PK parameters using the PsN-Toolkit (version 3.2.4; Division of Pharmacokinetics and Drug Therapy, Uppsala University, Uppsala, Sweden).

Patients with nosocomial ICU acquired SGNB infection (Control B): patients with nosocomial ICU acquired RGNB infection with no previous SGNB infection/colonization this admission (case) were matched with patients with nosocomial ICU acquired SGNB infection (control B) by the nearest neighbor matching method with replacement in a ratio of 1 1.

To keep robustness of such a selection the bootstrap method (drawing with replacement) was used to generate a training set.

A bootstrapping method, sampling with replacement and re-sampling 100 times, was employed to judge the strength of support for the T-S estimates.

In this method, random sampling with replacement is performed to take samples of customer records.

Bootstrap is a Monte Carlo-type data augmentation method utilizing resampling with replacement that can be used with observed data.

Hazard ratios were compared using the bootstrap method (random re-sampling with replacement; 105 samples) to determine the statistical distribution of (HR1−HR2) from which the relevant P value than was derived.

The main idea of this method is to resample with replacement from the sample data at hand and create a large number of "phantom samples" known as bootstrap samples (Singh and Xie 2013).