simultaneous confidence intervals

simultaneous confidence intervals with fixed length and probability of coverage for estimable functions in normal linear models

正态线性模型可估函数的两步同时置信区间

we propose a new method of constructing simultaneous confidence intervals with marginal equal tail probability for the mean vector.

本文提出了边际等尾联合置信区间的概念，并提出了一种构造均值向量的边际等尾联合置信区间的方法。

the simultaneous confidence intervals are built upon the wilson type inter-vals for the individual parameter with equi-coordinate critical point approximated by the percentile of some maximum modulus distribution.

在低维的情况下，我们用Wilson区间来建立同时置信区间，对每个参数应用相等的临界值，这种临界值由最大模的分位数得到。

by the bootstrap estimation of mean vector, we use the percentile interpolation to construct simultaneous confidence intervals.

该方法通过重抽样获得样本均值的估计，并通过该估计利用分位数插值的方法构造了均值向量的边际等尾联合置信区间。

the comparison of some simultaneous confidence intervals

几种同时置信区间的比较