A new method called robust weighted total least squares was developed to improve the accuracy of estimating parameters in data analysis. This method considers errors in the data and uses a special weight function to make the estimates more reliable. Through experiments with simulated and real data, it was found that this new method outperformed traditional weighted total least squares and another robust method. The robust weighted total least squares method provided more accurate parameter estimations, making it a better choice for data analysis.