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Mean and covariance structure model is
widely applied in behavioral, educational, medical, social and
psychological research. The classic maximum likelihood estimate is
vulnerable to outliers and distributional deviation. In this paper,
robust estimate based on minimizing the objective function is
proposed, and M-ratio test based on the robust deviance is suggested
to assess the model fit. Empirical results are illustrated by a real
example.