Jackknifing

{
  "id": "MLC-T-CHM-006274",
  "term": "Jackknifing",
  "field": "Chemistry",
  "definition": "A resampling statistical technique used to estimate the bias and variance of a statistic calculated from a sample of data. The method involves systematically leaving out one observation at a time from the dataset, calculating the statistic on the remaining data, and then combining these calculations to form the final estimate. Unlike bootstrap resampling, which samples with replacement, jackknifing is a deterministic process where each observation is removed exactly once.",
  "subject": "Chemistry and Human Health",
  "see_also": [
    "r2",
    "bootstrap resampling"
  ],
  "references": [
    "PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 248 (https://doi.org/10.1515/pac-2012-1204)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/jackknifing/"
}