Model selection for multiway categorical data using partitioning of chi-square : part II - selected examples and program documentation / A. C. Singh and N. Ferragne.: CS11-613/88-32E-PDF
"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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| Department/Agency | Canada. Statistics Canada. Social Survey Methods Division. |
|---|---|
| Title | Model selection for multiway categorical data using partitioning of chi-square : part II - selected examples and program documentation / A. C. Singh and N. Ferragne. |
| Series title | Working paper ; 88-32 |
| Publication type | Series - View Master Record |
| Language | [English] |
| Format | Electronic |
| Electronic document | |
| Note(s) | "Working paper no. SSMD-88-032 E." Digitized edition from print [produced by Statistics Canada]. Includes bibliographic references. Prefatory material in English and French. |
| Publishing information | [Ottawa] : Statistics Canada, 1988. |
| Author / Contributor | Singh, Avinash C. Ferragne, N. |
| Description | [104] p. |
| Catalogue number |
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| Departmental catalogue number | 11-613E |
| Subject terms | Statistical analysis Methodology |
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