Mathematical Sciences: Analysis of Qualitative Data with    Log-Linear Models
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{'SignBlockName': 'Alan Izenman', 'PO_EMAI': None, 'PO_PHON': None}
Log-linear models for qualitative data are usually analyzed                by means of the large-sample approximations for maximum-                        likelihood and weighted-least-squares estimators. Computational                 problems have made the corresponding exact tests and confidence                 intervals difficult to use. Employing the Newton-Raphson                        algorithm for the computation and falling back on slightly less                 optimal procedures reduces the problems. The models are extended                to qualitative data with random effects as well as data which is                only approximately consistent with the model.
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{'Code': '1269', 'Text': 'STATISTICS'}
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