20.500.12556/RUL-58694 On bagging and estimation in multivariate mixtures Two bagging approaches, say 1 2 n-out-of-n without replacement (subagging) and n-out-of-n with replacement (bagging) have been applied in the problem of estimation of the parameters in a multivariate mixture model. It has been observed by Monte Carlo simulations and a real data example, that both bagging methods have improved the standard deviation of the maximum likelihood estimator of the mixing proportion, whilst the absolute bias increased slightly. In estimating the component distributions, bagging could increase the root mean integrated squared error when estimating the most probable component. true false false Fakulteta za družbene vede Angleški jezik Angleški jezik Delo ni kategorizirano 2015-07-10 18:13:18 2015-07-10 18:13:18 2022-07-04 03:42:25 0000-00-00 00:00:00 2008 0 0 Str. 9-18 No. 1 Vol. 5 2008 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 519.2 1854-0023 29128797 215795712 http://mrvar.fdv.uni-lj.si/pub/mz/mz5.1/Pakyari.pdf 1 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=58705 Fakulteta za družbene vede Metodološki zvezki 0 0 0