... in the procedure for estimating the cumulative incidence curve can lead to a substantial underestimation of its sampling variability. Confidence intervals for cumulative human immunodeficiency virus incidence curve Human immunodeficiency virus incidence Inequality-restricted regression Multistage bootstrap...

... of genomic pre- rate (DPR), respectively. For each trait, 50 bootstrap samples dictions. One such quality control measure commonly used is from a reference population comprised of 2011 DYD of 8610, individual animal call rate, defined as the proportion of SNPs 8405, and 7945 older Holstein bulls were...

.... KEYWORDS: Beta distribution; Bootstrap sampling; Censoring; Confidence interval; Greenwood s formula; Hypothesis test; Kaplan-Meier estimate; Likelihood ratio test; Survival data. 1. Introduction We consider inference on the survivor function S ( t )= pr(T > t ) from survival times subject to independent...

.... Data mining Strobl Carolin Binary classification tree Classification and regression trees Ensemble methods of data mining Classification and regression trees CART Bagging Random forests Bootstrap sampling Subsampling Prediction Variable importance Data mining...

... Shuffling is drawing without repetition, whereas in bootstrap sampling we usually draw with repetitions (hence the Poisson approximation when the number of objects in the sample is large). Such methods are indispensable for two reasons. First, it is an honourable thing to let the computer do our work for us...