Monitoring Multinomial Logistic Profiles in Phase I Using Log-Linear Models

What is it about?

The purpose of this paper is to apply Poisson GLM with log link instead of multinomial logistic regression to monitor multinomial logistic profiles in Phase I. Hence, estimating the coefficients becomes easier and more accurate.

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Why is it important?

The proposed algorithm is faster and more accurate than the previous algorithms. Simulation results also indicate that the likelihood ratio test (LRT) method is able to detect out-of-control parameters more efficiently.