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Author McArthur, Duncan
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract This paper introduces the method of log-linear analysis for performing hypothesis testing on contingency tables. The reader will see a brief development of this topic beginning with Pearson's classic chi-square test and examples of analyses on two and three dimensional tables. The idea of hierarchical models and backward elimination are discussed. Finally, the APL2 implementation of the Newton-Raphson algorithm is described. Newton-Raphson is an iterative procedure for finding the roots of a function. It is used in log-linear analysis to find the maximum-likelihood estimation of expected frequencies that cannot be calculated from expressions in closed form.
Description Affiliation: Georgia State University, Atlanta (McArthur, Duncan)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1988-12-01
Publisher Place New York
Journal ACM SIGAPL APL Quote Quad (APLQ)
Volume Number 24
Issue Number 1
Page Count 5
Starting Page 159
Ending Page 163


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Source: ACM Digital Library