Abstract
In the analysis of a set of tables with constant row sum data the simultaneous latent budget model provides a reduced-rank decomposition of the observed budgets of each table by a mixture of unknown, or latent, budgets. A constrained least-squares algorithm is introduced to estimate the model parameters under no probability distribution assumptions. Some examples of applications on real data sets are finally shown. Copyright © 1999 John Wiley & Sons, Ltd.
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