A Novel Approach for the Determination of Standard Deviation in the Presence of Outliers Using a Robust Statistical Method

• Introduces a robust standard deviation estimator that is resistant to outliers, improving accuracy in contaminated datasets. • Combines trimmed mean and modified median absolute deviation, offering a balance between efficiency and robustness. • Demonstrates superior performance over traditional estimators through simulations and real-world case studies. • Provides a computationally efficient solution that can be readily implemented in statistical software packages.