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      <marc:subfield code="a">CS11-613/88-32E-PDF</marc:subfield>
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      <marc:subfield code="a">Singh, Avinash C.</marc:subfield>
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    <marc:datafield tag="245" ind1="1" ind2="0">
      <marc:subfield code="a">Model selection for multiway categorical data using partitioning of chi-square </marc:subfield>
      <marc:subfield code="h">[electronic resource] : </marc:subfield>
      <marc:subfield code="b">part II  - selected examples and program documentation / </marc:subfield>
      <marc:subfield code="c">A. C. Singh and N. Ferragne.</marc:subfield>
    </marc:datafield>
    <marc:datafield tag="260" ind1=" " ind2=" ">
      <marc:subfield code="a">[Ottawa] : </marc:subfield>
      <marc:subfield code="b">Statistics Canada, </marc:subfield>
      <marc:subfield code="c">1988.</marc:subfield>
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    <marc:datafield tag="300" ind1=" " ind2=" ">
      <marc:subfield code="a">[104] p.</marc:subfield>
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    <marc:datafield tag="490" ind1="1" ind2=" ">
      <marc:subfield code="a">Working paper ; </marc:subfield>
      <marc:subfield code="v">88-32</marc:subfield>
    </marc:datafield>
    <marc:datafield tag="500" ind1=" " ind2=" ">
      <marc:subfield code="a">"Working paper no. SSMD-88-032 E."</marc:subfield>
    </marc:datafield>
    <marc:datafield tag="500" ind1=" " ind2=" ">
      <marc:subfield code="a">Digitized edition from print [produced by Statistics Canada].</marc:subfield>
    </marc:datafield>
    <marc:datafield tag="504" ind1=" " ind2=" ">
      <marc:subfield code="a">Includes bibliographic references.</marc:subfield>
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    <marc:datafield tag="520" ind1="3" ind2=" ">
      <marc:subfield code="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.</marc:subfield>
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      <marc:subfield code="a">Prefatory material in English and French.</marc:subfield>
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      <marc:subfield code="2">gccst</marc:subfield>
      <marc:subfield code="a">Statistical analysis</marc:subfield>
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      <marc:subfield code="2">gccst</marc:subfield>
      <marc:subfield code="a">Methodology</marc:subfield>
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      <marc:subfield code="a">Ferragne, N.</marc:subfield>
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      <marc:subfield code="a">Canada. </marc:subfield>
      <marc:subfield code="b">Statistics Canada.</marc:subfield>
      <marc:subfield code="b">Social Survey Methods Division.</marc:subfield>
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    <marc:datafield tag="830" ind1="#" ind2="0">
      <marc:subfield code="a">Working paper (Statistics Canada. Methodology Branch)</marc:subfield>
      <marc:subfield code="v">88-32</marc:subfield>
      <marc:subfield code="w">(CaOODSP)9.834763</marc:subfield>
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      <marc:subfield code="q">PDF</marc:subfield>
      <marc:subfield code="s">10.50 MB</marc:subfield>
      <marc:subfield code="u">https://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-613-88-32-eng.pdf</marc:subfield>
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      <marc:subfield code="a">11-613E</marc:subfield>
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