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| 02074cam 2200337za 4500 |
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| 001 | 9.837456 |
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| 003 | CaOODSP |
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| 005 | 20221107151137 |
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| 007 | cr ||||||||||| |
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| 008 | 170531s1988 onc |o f|0| 0 eng d |
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| 040 | |aCaOODSP|beng |
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| 041 | |aeng|bfre |
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| 043 | |an-cn--- |
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| 086 | 1 |aCS11-613/88-32E-PDF |
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| 100 | 1 |aSingh, Avinash C. |
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| 245 | 10|aModel selection for multiway categorical data using partitioning of chi-square |h[electronic resource] : |bpart II - selected examples and program documentation / |cA. C. Singh and N. Ferragne. |
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| 260 | |a[Ottawa] : |bStatistics Canada, |c1988. |
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| 300 | |a[104] p. |
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| 490 | 1 |aWorking paper ; |v88-32 |
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| 500 | |a"Working paper no. SSMD-88-032 E." |
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| 500 | |aDigitized edition from print [produced by Statistics Canada]. |
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| 504 | |aIncludes bibliographic references. |
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| 520 | 3 |a"This report contains several examples on log-linear model selection for multiway categorical data taken from the literature and their analyses by the RX2 method (Singh, 1988). The RX2 method provides a fast screening procedure for model selection within the class of hierarchical models. It uses ranking of all parameters in a decreasing order of importance as measured by P-values. RX2 provides an alternative to the ranking method based on the well- 2 known partitioning of the likelihood ratio test statistic, G which can be quite expensive computationally. Use of RX2 for the problem of polytomous logit model selection is also considered. Detailed computer program codes (in SAS-IML) are documented in the appendix"--Abstract. |
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| 546 | |aPrefatory material in English and French. |
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| 692 | 07|2gccst|aStatistical analysis |
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| 692 | 07|2gccst|aMethodology |
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| 700 | 1 |aFerragne, N. |
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| 710 | 1 |aCanada. |bStatistics Canada.|bSocial Survey Methods Division. |
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| 830 | #0|aWorking paper (Statistics Canada. Methodology Branch)|v88-32|w(CaOODSP)9.834763 |
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| 856 | 40|qPDF|s10.50 MB|uhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-613-88-32-eng.pdf |
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