Partitioning information in a multidimensional contingency table and centring of log‐linear parameters

Jacques A. Zighera

Applied Stochastic Models and Data Analysis, 1985, vol. 1, issue 2, 93-108

Abstract: A centring of the parameters of a log‐linear model, based on the weighted harmonic mean of the exponential transforms of the parameters, gives results more consistent with the model than the traditional centring technique arbitrarily based—by analogy with the analysis of variance—on the average of the untransformed parameters. It permits the partitioning of the total information of the table in components of the information, each corresponding with a margin appearing in the constraints. An illustration is given at the end of the article concerning the labour force in the European Community.

Date: 1985
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1002/asm.3150010203

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmda:v:1:y:1985:i:2:p:93-108

Access Statistics for this article

More articles in Applied Stochastic Models and Data Analysis from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().