Small, geometrically incremented basis parameterizations can easily be obtained numerically without regularization or concern for problems associated with ill-conditioned matrices. The geometric increment to be used can be determined using the resolution determined from plots such as Figure . When a small basis set is orthonormalized using eigenvalue decomposition of the Fisher information matrix or singular value decomposition of the exponential decay basis set, it establishes a unique set of functionals for generating parameters with many uses and advantageous properties. Beyond being statistically independent, these parameters have physical meaning. As their index increases, the distribution of relaxation rates in the source is defined more precisely. Once a rate range and resolution are set, these parameters can be calculated automatically and rapidly for an unlimited number of measurements and samples. The parameters can, in turn, be used for automated interpretation tasks like classification, automated screening and control, diagnostics, and more. Their versatility and robustness arise because they capture the available information regardless of the underlying distribution of relaxation rates that lead to the measured data, they are commensurate from measurement-tomeasurement, and they have useful statistical properties including equal uncertainty ranges and uncorrelated values.