resampling
- noun
- /ˌriːˈsæmplɪŋ/
- Specialized
- Therefore, we used a resampling method to derive incidence and confidence interval (CI) estimates.
- bootstrap resampling
- resampling procedure
Examples
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The analyses consisted of bootstrap and resampling procedures.
Academic text (2009) -
Nonparametric bootstrap resampling methods were used to test for differences between schools and between years one and two.
Academic text (2009) -
When resampling is conducted, there is an additional delay before results are obtained.
Academic text (1994) -
These were obtained using a jackknife resampling procedure.
Blog text (25) -
Results should be compared with past readings and adjacent sampling stations, and resampling conducted if necessary.
Academic text (1994) -
The bootstrap resampling plan generates simulated samples based on the original data and tests the hypothesized model against these additional data sets.
Academic text (2009) -
All multivariate regression methods used involved at least one tuning parameter (Table S2), which was optimized during the resampling procedure.
Academic text (2016) -
For example, rather than using the outlier analysis approach or confidence intervals discussed above, bootstrap resampling (e.g., Noreen 1986) could be used to analyze whether a number of recent observations come from the same distribution as the base case data.
Academic text (1992) -
Internal model validation using bootstrap resampling suggested a range of very small to modest optimism bias in model variance explained and regression slopes, from about 0.05% bias in slope estimates for Whites to about 8% for Native Americans.
Academic text (2016) -
Researchers often use resampling to estimate the reliability of their statistical analysis.
Synonyms
A method that checks how accurate a result is by taking many new samples from the data
Surface Forms
Morphology
Etymology
Resampling starts with re- meaning 'again' and sample meaning 'a small part or example'. In statistics, resampling means 'taking samples again and again' from the same data to see how much results can change and to check their accuracy.