Cochran's rule for simple random sampling
Cochran's rule for simple random sampling
Cochran's rule for the minimum sample size to ensure adequate coverage of nominal 95% confidence intervals is derived by using the Edgeworth expansion for the distribution function of the standardized sample mean. The rule is extended for confidence intervals based on the Studentized sample mean. The performance of the rule and Edgeworth approximations for smaller sample sizes are examined by simulation.
787-793
Sugden, R. A.
41caaafa-1caf-4f7b-a6ed-2c6c90ad3756
Smith, T.M.F.
61602253-c2d6-43a1-862b-291379e75318
Jones, R. P.
4c67c585-ab35-4fe9-ad9d-77f3a1b5ebd7
2000
Sugden, R. A.
41caaafa-1caf-4f7b-a6ed-2c6c90ad3756
Smith, T.M.F.
61602253-c2d6-43a1-862b-291379e75318
Jones, R. P.
4c67c585-ab35-4fe9-ad9d-77f3a1b5ebd7
Sugden, R. A., Smith, T.M.F. and Jones, R. P.
(2000)
Cochran's rule for simple random sampling.
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 62 (4), .
(doi:10.1111/1467-9868.00264).
Abstract
Cochran's rule for the minimum sample size to ensure adequate coverage of nominal 95% confidence intervals is derived by using the Edgeworth expansion for the distribution function of the standardized sample mean. The rule is extended for confidence intervals based on the Studentized sample mean. The performance of the rule and Edgeworth approximations for smaller sample sizes are examined by simulation.
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Published date: 2000
Organisations:
Statistics
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Local EPrints ID: 30076
URI: http://eprints.soton.ac.uk/id/eprint/30076
ISSN: 1467-9868
PURE UUID: a23967ca-3579-4d48-9479-83cfe7b9d5eb
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Date deposited: 11 May 2006
Last modified: 15 Mar 2024 07:37
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Author:
R. A. Sugden
Author:
T.M.F. Smith
Author:
R. P. Jones
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