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ADJUSTMENT OF DATA
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A-parameters adjusted residuals analysis approximate assumed asymptotic standard deviations asymptotic variance BDFY Bock and Yates cells Chapter chi-square statistics Coefficients column considered contingency tables corresponding current age defined degrees of freedom distribution estimated asymptotic standard Estimated Expected Counts expected value Fienberg given Goodman Haberman 1974a hierarchical model homogeneity model incomplete tables independent variables interaction iterative proportional fitting latent variable latent-class models linear log cross-product ratio log mijk log odds log-linear model logit models marginal totals maximum likelihood equations maximum likelihood estimates Model for Table model log multinomial distribution multinomial response models mxijkl Newton-Raphson algorithm Note Observed Counts Parameter Estimate EASD polytomous proportional fitting algorithm quasi-independence model quasi-symmetry model Results are summarized saturated model scoring algorithm Section 6.1 Social Survey Solution subjects h summarized in Table symmetry model table of counts UORK xijk Yes Yes Yes