caa a22 4500 477092152 CHVBK 20180405111518.0 cr unu---uuuuu 170330e19960401xx s 000 0 eng 10.1007/BF02589584 doi (NATIONALLICENCE)springer-10.1007/BF02589584 Gigli A. Istituto per le Applicazioni del Calcolo-CNR, Viale del Policlinico 137, 00161, Roma, Italy aut Efficient bootstrap methods: A review [Elektronische Daten] [A. Gigli] Summary: One of the fundamental of mathematical statistics is the estimation of sampling characteristics of a random variable, a problem that is increasingly solved using bootstrap methods. Often these involve Monte Carlo simulation, but they may be costly and time-consuming in certain problems. Various methods for reducing the simulation cost in bootstrap simulations have been proposed, most of them applicable to simple random samples. Here we review the literature on efficient resampling methods, make comparisons, try to assess the best method for a particular problem. Società Italiana di Statistica, 1996 Monte Carlo methods nationallicence Importance sampling nationallicence Balanced sampling nationallicence Control variates method nationallicence Antithetic variates nationallicence Journal of the Italian Statistical Society Springer-Verlag 5/1(1996-04-01), 99-127 1121-9130 5:1<99 1996 5 10260 https://doi.org/10.1007/BF02589584 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02589584 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Gigli A. Istituto per le Applicazioni del Calcolo-CNR, Viale del Policlinico 137, 00161, Roma, Italy aut NATIONALLICENCE 773 0- Journal of the Italian Statistical Society Springer-Verlag 5/1(1996-04-01), 99-127 1121-9130 5:1<99 1996 5 10260 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer