Robust Estimation of Experimental Data with Gross Errors Using Least Absolute Deviations Method
Implementing robust estimation for experimental data containing gross errors through the L1-norm minimization approach with code optimization techniques
Robust Estimation of Experimental Data Using the Danish Method
Applying the Danish Method for robust estimation of experimental data, suitable for datasets containing gross errors or outliers, with implementation insights into weighting strategies and iterative refinement.
Robust Estimation of Experimental Data Using the Danish Method
Applying the Danish Method for Robust Estimation of Experimental Data with Code Implementation Insights