A k-stage sequential sampling procedure for estimation of normal mean
Journal of Statistical Planning and Inference, 65, (1), . (doi:10.1016/S0378-3758(97)00048-7).
Full text not available from this repository.
We study a k-stage > sequential estimation procedure which includes the three-stage procedure of Hall (1981) as a special case. With a suitable value of k, the k-stage procedure not only can be as efficient as the fully sequential procedure of Anscombe, Chow and Robbins in terms of sample size, but also requires at most k sampling operations. For the problem of constructing a fixed width confidence interval for the mean of a normal population with unknown variance, the three-stage procedure of Hall always needs a few more observations than the fully sequential procedure. The five-stage procedure, however, requires almost the same number of observations as the fully sequential procedure
Actions (login required)