Regression model

BCa bootstrap (korigovan na pristrasnost i ubrzan)

BCa bootstrap je metoda ponovnog uzorkovanja, koju je uveo Bradley Efron 1987. godine, a koja proizvodi tačnije intervale poverenja od običnog percentilnog bootstrapa primenom korekcije pristrasnosti i ubrzanja. Preporučuje se za asimetrične distribucije i male uzorke.

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Izvori

  1. Efron, B. (1987). Better Bootstrap Confidence Intervals. Journal of the American Statistical Association, 82(397), 171-185. DOI: 10.1080/01621459.1987.10478410
  2. DiCiccio, T. J. & Efron, B. (1996). Bootstrap Confidence Intervals. Statistical Science, 11(3), 189-228. DOI: 10.1214/ss/1032280214

Kako citirati ovu stranicu

ScholarGate. (2026, June 1). Bias-Corrected and Accelerated Bootstrap. ScholarGate. https://scholargate.app/sr/statistics/bca-bootstrap

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Citirana u

ScholarGateBCa Bootstrap (Bias-Corrected and Accelerated Bootstrap). Preuzeto 2026-06-15 sa https://scholargate.app/sr/statistics/bca-bootstrap · Skup podataka: https://doi.org/10.5281/zenodo.20539026