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On some testing problems for sparse contingency tables

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Title: On some testing problems for sparse contingency tables
Authors: Burman, Prabir1 burman@wald.ucdavis.edu
Source: Journal of Multivariate Analysis. Jan2004, Vol. 88 Issue 1, p1. 18p.
Subjects: Statistics, Hypothesis
Abstract: A class of test statistics are proposed for sparse tables with ordered categories. It is shown that for different testing situations these test statistics asymptotically more powerful tests than Pearson''s chi-square. [Copyright &y& Elsevier]
Copyright of Journal of Multivariate Analysis is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <i>Copyright of Journal of Multivariate Analysis is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/S0047-259X(02)00052-0
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      – Code: eng
        Text: English
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        PageCount: 18
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      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Hypothesis
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      – TitleFull: On some testing problems for sparse contingency tables
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              Text: Jan2004
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              Y: 2004
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