ABSTRACTS

This article provides methods for constructing simultaneous prediction intervals to contain the means of the dependent variable in a regression model for each of k future samples at k sets of values of the independent variables, some or all of which may be different. The methods are compared with previously proposed approximate procedures. The construction of simultaneous confidence intervals to contain the true regression at all of k vectors of independent variables is also presented.