A new statistical profile monitoring technique to monitor and detect changes in logistic profiles with an application in the tourism industry is presented in this paper. In the statistical process control literature, profile is usually referred to as a relationship between a response variable and one or more explanatory variables. In the tourism case study presented in this paper, time is considered as the explanatory variable and tourism satisfaction as the response variable. The Likelihood ratio test is used as a vehicle to detect any changes in the satisfaction profile in phase II of profile monitoring. The performance of the proposed method is evaluated using the average run length criterion. The numerical data indicate satisfactory results for the proposed approach.
Noorossana, R.; Izadbakhsh, H.; and Nayebpour, M. R.
A Likelihood Ratio Test Approach to Profile Monitoring in Tourism Industry,
Applications and Applied Mathematics: An International Journal (AAM), Vol. 9,
2, Article 5.
Available at: https://digitalcommons.pvamu.edu/aam/vol9/iss2/5