A k-stage sequential sampling procedure for estimation of normal mean
Liu, Wei (1997) A k-stage sequential sampling procedure for estimation of normal mean. Journal of Statistical Planning and Inference, 65, (1), 109-127. (doi:10.1016/S0378-3758(97)00048-7).
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Description/Abstract
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
| Item Type: | Article |
|---|---|
| ISSNs: | 0378-3758 (print) |
| Related URLs: | |
| Keywords: | confidence intervals, normal distribution, sequential methods |
| Subjects: | Q Science > QA Mathematics H Social Sciences > HA Statistics |
| Divisions: | University Structure - Pre August 2011 > School of Mathematics > Statistics |
| Item ID: | 30089 |
| Date Deposited: | 20 Mar 2007 |
| Last Modified: | 01 Jun 2011 11:29 |
| Contributors: | Liu, Wei (Author) |
| Date: | 1997 |
| Status: | Published |
| URI: | http://eprints.soton.ac.uk/id/eprint/30089 |
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