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Model selection for multiway categorical data using partitioning of chi-square : part I - theory and methods / A. C. Singh.: CS11-613/88-31E-PDF

"For multiway categorical data, we consider the problem of ranking all parameters of a log-linear model in decreasing order of importance as measured by P-values within the class of hierarchical models"--Abstract.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.837454&sl=0

Publication information
Department/Agency
  • Canada. Statistics Canada. Social Survey Methods Division.
TitleModel selection for multiway categorical data using partitioning of chi-square : part I - theory and methods / A. C. Singh.
Series title
  • Working paper ; 88-31
Publication typeMonograph - View Master Record
Language[English]
FormatDigital text
Electronic document
Note(s)
  • Digitized edition from print [produced by Statistics Canada].
  • "Working paper no. SSMD-88-031 E."
  • Includes bibliographic references.
  • Prefatory material in English and French.
Publishing information
  • [Ottawa] : Statistics Canada, 1988.
Author / Contributor
  • Singh, Avinash C.
Description17 p.
Catalogue number
  • CS11-613/88-31E-PDF
Departmental catalogue number11-613E
Subject terms
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