Vol. 21, No. 1, RES CONFERENCE 2016: SPECIAL ISSUE ON MODEL SELECTION AND INFERENCE (2018), pp. 1-10 (10 pages) The bootstrap is a popular and useful tool for estimating the asymptotic variance of ...
Rubin & Schenker (1986) proposed the approximate Bayesian bootstrap, a two-stage resampling procedure, as a method of creating multiple imputations when missing data are ignorable. Kim (2002) showed ...
Recently, analysis of variance (ANOVA) random effects models have been applied to data sets consisting of repeated measurements of pollutants within factories in order to identify determinants of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results