School of Statistics and Actuarial Science, University of KwaZulu Natal, Scottsville, South Africa; School of Statistics and Actuarial Science, University of the Witwatersrand, Wits, South Africa; School of Statistics and Actuarial Science, University of KwaZulu Natal, Pietermaritzburg Campus, Private Bag X01, Scottsville 3209, South Africa
Zewotir, T., School of Statistics and Actuarial Science, University of KwaZulu Natal, Scottsville, South Africa, School of Statistics and Actuarial Science, University of KwaZulu Natal, Pietermaritzburg Campus, Private Bag X01, Scottsville 3209, South Africa; Galpin, J.S., School of Statistics and Actuarial Science, University of the Witwatersrand, Wits, South Africa
A large number of statistics have been proposed to study the influence of individual observations in the linear mixed model. An extensive Monte Carlo simulation study is used to evaluate the appropriateness of these influence diagnostic measures. The sensitivity of the diagnostic measures to outliers and leverages is examined, and helpful results are obtained.