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A note on Hall's triple sampling procedure: a multiple sample second order sequential analogue of the Behrens-Fisher problem

A note on Hall's triple sampling procedure: a multiple sample second order sequential analogue of the Behrens-Fisher problem
A note on Hall's triple sampling procedure: a multiple sample second order sequential analogue of the Behrens-Fisher problem
In many statistical problems, the variances of the populations cannot be assumed to be equal. These inhomogeneity problems are often more difficult to handle than the corresponding homogeneity problems. In sequential estimation, this often means that only first order sequential procedures are available in the statistics literature for inhomogeneity problems. The purpose of this paper is to illustrate by using the classical Behrens–Fisher problem how to construct a second order sequential procedure using the batch sampling idea of Hall [Ann. Statist. 9 (1981) 1229–1238]; the cost of assuming variance inhomogeneity even when the two variances are equal turns out to be very limited. The approach of this paper can readily be applied to many other inhomogeneous problems.
Behrens–Fisher problem, confidence interval, second order asymptotic, sequential estimation, sequential sampling
0378-3758
331-343
Liu, W.
b64150aa-d935-4209-804d-24c1b97e024a
Wang, N.
feab57f9-464a-4b5c-918a-e10a25189d7e
Liu, W.
b64150aa-d935-4209-804d-24c1b97e024a
Wang, N.
feab57f9-464a-4b5c-918a-e10a25189d7e

Liu, W. and Wang, N. (2007) A note on Hall's triple sampling procedure: a multiple sample second order sequential analogue of the Behrens-Fisher problem. Journal of Statistical Planning and Inference, 137 (1), 331-343. (doi:10.1016/j.jspi.2005.10.002).

Record type: Article

Abstract

In many statistical problems, the variances of the populations cannot be assumed to be equal. These inhomogeneity problems are often more difficult to handle than the corresponding homogeneity problems. In sequential estimation, this often means that only first order sequential procedures are available in the statistics literature for inhomogeneity problems. The purpose of this paper is to illustrate by using the classical Behrens–Fisher problem how to construct a second order sequential procedure using the batch sampling idea of Hall [Ann. Statist. 9 (1981) 1229–1238]; the cost of assuming variance inhomogeneity even when the two variances are equal turns out to be very limited. The approach of this paper can readily be applied to many other inhomogeneous problems.

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More information

Submitted date: 6 May 2004
Published date: January 2007
Keywords: Behrens–Fisher problem, confidence interval, second order asymptotic, sequential estimation, sequential sampling

Identifiers

Local EPrints ID: 55158
URI: http://eprints.soton.ac.uk/id/eprint/55158
ISSN: 0378-3758
PURE UUID: dc2c475a-ec01-48b1-be2f-fd7bdd6b8a67
ORCID for W. Liu: ORCID iD orcid.org/0000-0002-4719-0345

Catalogue record

Date deposited: 05 Aug 2008
Last modified: 16 Mar 2024 02:42

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Contributors

Author: W. Liu ORCID iD
Author: N. Wang

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