bootstrapping can be applied to complex sampling designs (e.g. for population divided into s strata with ns observations per strata, bootstrapping can...

intelligence (via bootstrapping) and thus a new era. Bootstrapping is a resampling technique used to obtain estimates of summary statistics. Bootstrapping in business...

Look up bootstrapping or bootstrap in Wiktionary, the free dictionary. Bootstrapping is a self-starting process that is supposed to proceed without external...

rMIDAS package and in Python with the MIDASpy package. Bootstrapping (statistics) Censoring (statistics) Expectation–maximization algorithm Geo-imputation...

Resampling methods are: Permutation tests (also re-randomization tests) Bootstrapping Cross validation Jackknife Permutation tests rely on resampling the...

Robust statistics Heteroskedasticity-consistent standard errors Newey–West estimator Generalized estimating equation Bootstrapping (statistics) Statistical...

Cross-validation (statistics). Boosting (machine learning) Bootstrap aggregating (bagging) Out-of-bag error Bootstrapping (statistics) Leakage (machine...

can improve accuracy". Boosting (meta-algorithm) Bootstrapping (statistics) Cross-validation (statistics) Out-of-bag error Random forest Random subspace...

aggregating Bootstrap error-adjusted single-sample technique Bootstrapping (statistics) Bootstrapping populations Borel–Cantelli lemma Bose–Mesner algebra Box–Behnken...

The bootstrapping method provides some advantages to the Sobel's test, primarily an increase in power. The Preacher and Hayes bootstrapping method...