Simultaneous small-sample multivariate Bernoulli confidence intervals.
A technique based on the bootstrap is presented for assessing the simultaneous confidence level of k small-sample confidence intervals for multivariate Bernoulli marginal frequencies. The small-sample intervals used are those of Clopper and Pearson (1934, Biometrika 26, 404-413) and require iterative computation. To estimate the simultaneous confidence level, the multivariate Bernoulli vectors are resampled via the bootstrap and the Clopper-Pearson intervals recomputed on each pseudosample. The bootstrap estimate is then the proportion of times (computed via Monte Carlo) that all the k intervals computed by resampling contain the original sample frequencies. The technique is applied to single-sample HLA data.
D000704:Analysis of Variance; D006680:HLA Antigens / Q000032:analysis; D006801:Humans; D008962:Models, Theoretical; D011336:Probability; D012107:Research Design
D006680:HLA Antigens