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Monitoring multinomial logistic profiles in Phase I using log-linear models

Hamidreza Izadbakhsh (Kharazmi University, Tehran, Iran)
Rassoul Noorossana (Iran University of Science and Technology, Tehran, Iran)
Seyed Taghi Akhavan Niaki (Sharif University of Technology, Tehran, Iran)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 5 March 2018

296

Abstract

Purpose

The purpose of this paper is to apply Poisson generalized linear model (PGLM) 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.

Design/methodology/approach

Simulation technique is used to assess the performance of the proposed algorithm using four different control charts for monitoring.

Findings

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

Originality/value

The PGLM with log link has not been used to monitor multinomial profiles in Phase I.

Keywords

Citation

Izadbakhsh, H., Noorossana, R. and Niaki, S.T.A. (2018), "Monitoring multinomial logistic profiles in Phase I using log-linear models", International Journal of Quality & Reliability Management, Vol. 35 No. 3, pp. 678-689. https://doi.org/10.1108/IJQRM-04-2017-0068

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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