… confidence intervals for a single parameter 0 in a multiparameter family. The standard
approximate intervals … The bootstrap confidence intervals discussed in this article automatically in…

… bootstrap methods for constructing such intervals in a routine, automatic way. Two distinct
approaches have guided confidence interval … confidence interval is used to test a parameter …

… The interest liesin constructing a confidence interval for some parameter T(F), whose range
{T(F): FE F} will be denoted T. This leads to considering a root Rn(xn, T(F)), which is just …

… matrix the identity, find an approximate confidence interval for 9 = t{t\… We discuss
bootstrap-based confidence intervals which … The bootstrap intervals are invariant under …

… Before we discuss the various methods for bootstrap con"dence interval construction, we
give algorithms for non-parametric and parametric simulation, and illustrate these in a …

… Indeed, one of the technical contributions of our paper is to verify Efron's conjecture in
important cases-for the parametric bootstrap in multivariate exponential family models and for the …

… models, although early on we discussed the parametric bootstrap for multiparameter
models. Here we briefly describe the extension of the BC, and BC; procedures to multiparameter …

… confidence intervals and Type I error rates of the correlation coefficient. The parametric
approach is superior to the bootstrap … bootstrap results in overly restricted confidence intervals …

… on parametric methods for constructing confidence intervals. In this … -parametric bootstrap
confidence intervals. The advantage of such intervals is that they do not depend on parametric …

… that of coverage probability of confidence intervals. Arguing in that vein we shall show
the bootstrap to have two important … Typically f(Y) - 0 is an estimate of a parameter fQ(R) 6. …