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Uporišna inferencija×Diebold-Mariano test za jednaku prediktivnu točnost×
PodručjeStatistikaEkonometrija
ObiteljRegression modelHypothesis test
Godina nastanka19791995
TvoracBradley EfronFrancis Diebold & Roberto Mariano
VrstaResampling-based inferenceNon-parametric forecast comparison test
Temeljni izvorEfron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗Diebold, F. X., & Mariano, R. S. (1995). Comparing predictive accuracy. Journal of Business & Economic Statistics, 13(3), 253–263. DOI ↗
Drugi nazivibootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap ÇıkarımıDM Test, Test of Equal Forecast Accuracy, Diebold-Mariano Forecast Comparison Test, Tahmin Doğruluğu Eşitliği Testi
Srodne53
SažetakBootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples.The Diebold-Mariano (DM) test, introduced by Diebold and Mariano in 1995, is a widely used non-parametric procedure for formally comparing the predictive accuracy of two competing forecasting models. It evaluates whether the difference in forecast errors between two models is statistically significant, without requiring nested models or specific distributional assumptions about the forecasts, making it broadly applicable across economics, finance, and time-series analysis.
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ScholarGateUsporedite metode: Bootstrap Inference · Diebold-Mariano Test. Preuzeto 2026-06-19 s https://scholargate.app/hr/compare