This project is focused on improving the accuracy, uncertainty, and efficiency of SAM by experimental design and MC simulation, and then implementing it in technical protocols for analysis of SRMs and other samples. Improvements will be disseminated through peer-reviewed publications. These studies include:
- Determining the optimum experimental design for SAM that is unbiased and minimizes uncertainty in the measurand.
- Investigating weighted and unweighted regression in the context of symmetrically spaced (SS), symmetrically clustered (SC), and asymmetrically clustered (AC) calibration approaches.
- Improving and refine the technical procedure for SC standard additions as currently applied to multi-element measurements.
- Developing a user-friendly software program to calculate the best fit location estimate and corresponding dispersion for a given set of data using the SC design.