For the linear regression model , we consider the problem of data fitting under interval uncertainty. Let an interval × -matrix = ( ) and an interval -vector = ( ) represent the input data and output responses of the model respectively, such that , , ... , , in the -th experiment, = 1, 2, ... , . It is necessary to find the coefficients that best fit the… (More)