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Robustness of the maximum-likelihood estimation procedure in factor analysis
Authors:E. L. Fuller Jr.  W. J. Hemmerle
Affiliation:(1) University of Rhode Island, USA
Abstract:In order to determine the robustness of the maximum-likelihood estimation procedure, random variates from six distributions were generated independently on a high speed computer and then used to represent the common and specific factors in a factor analysis model in which the coefficients of these factors had been specified. Using Lawley's approximatex2 statistic in evaluating the estimates obtained, the estimation procedure is found to be insensitive to changes in the distributions considered.This study was conducted while the authors were members of the Statistical Laboratory at Iowa State University. All computations were done at Iowa State on an IBM 7074.
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