Author/Authors :
Ahmad, Maizah Hura Universiti Teknologi Malaysia - Faculty of Science - Department of Mathematics, Malaysia , Adnan, Robiah Universiti Teknologi Malaysia - Faculty of Science - Department of Mathematics, Malaysia , Kong, Lau Chik Universiti Teknologi Malaysia - Faculty of Science - Department of Mathematics, Malaysia , Daud, Zalina Mohd ATMA, Malaysia
Abstract :
A regression model is a mathematical equation that describes the relationship between two or more variables. In regression analysis, the basic idea is to use past data to fit a prediction equation that relates a dependent variable to independent variable(s). This prediction equation is then used to estimate future values of the dependent variable. The least-squares method is the most frequently used procedure for estimating the regression model parameters. However, the method of least-squares is biased when outliers exist. This paper proposes goal programming as a method to estimate regression model parameters when outliers must be included in the analysis.
