Data for: Optimizing Sensor Data Interpretation via Hybrid Parametric Bootstrapping

This dataset contains the measured concentrations of U-235 in granite samples from the eastern desert of Egypt [1], which were used to analyze and estimate the upper limits of U-235 concentrations. The data includes both the original dataset and modified versions used for statistical analysis, including nonparametric bootstrapping and hybrid parametric bootstrapping techniques. The repository also includes scripts and code used for analyzing the datasets, particularly in handling outliers and small sample sizes, as well as results from comparative analyses between different statistical approaches. This data is essential for further research on the safe management of nuclear legacy waste and is applicable to remediation and decommissioning efforts at nuclear sites such as Chalk River Laboratories. [1] Harb, S., et al. "Concentration of U-238, U-235, Ra-226, Th-232 and K-40 for some granite samples in eastern desert of Egypt." (2008).