The researchers developed a new estimator that combines the simplicity of the ratio estimator with the accuracy of the regression estimator. By using multiple auxiliary variables, they created a generalized ratio-type estimator that is easy to use and provides robust results for different types of data. Through simulations and real financial data analysis, they confirmed that this new estimator improves estimation accuracy and precision in sample surveys.