Exact conditional tests for incomplete contingency tables: estimating attained significance levels
Smith, Peter W. F. and McDonald, John W. (1995) Exact conditional tests for incomplete contingency tables: estimating attained significance levels. Statistics and Computing, 5, (3), 253-256. (doi:10.1007/BF00142667).
Full text not available from this repository.
A Monte Carlo exact conditional test of quasi-independence in two-way incomplete contingency tables is proposed. The null distribution of a random table under quasiindependence is derived. This distribution depends only on the counts in the cells of interest and not on the counts in the remaining cells. This result is used to improve the efficiency of a proposed simulate-and-reject Monte Carlo procedure for estimating the attained significance level.
|Digital Object Identifier (DOI):||doi:10.1007/BF00142667|
|Subjects:||H Social Sciences > H Social Sciences (General)|
|Divisions :||University Structure - Pre August 2011 > School of Social Sciences > Social Statistics
|Accepted Date and Publication Date:||
|Date Deposited:||15 Jan 2008|
|Last Modified:||31 Mar 2016 12:01|
The analysis of complex survey data
Funded by: ESRC National Centre for Research Methods (H519255005)
1 October 1993 to 30 September 1996
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)