Intuitively, the calibration techniques are based on the following supposition: if the data of a survey are capable of correctly estimating the known totals of the auxiliary variables, they will also provide good estimations of the variables of interest. In the last decade, this simple idea has been widely employed. Nowadays, it is quite common to find statistical agencies that use the calibration method in many areas and applications