Estimating the sizes of hard-to-count populations is a challenging and important problem that occurs frequently in social science, public health, and public policy.
We explore novel means for estimating the sizes of features that lie below the diffraction limits for laser scanning confocal microscopy (LSCM) for non-destructive, quantitative materials characterization.
Statistical methods based on extreme value theory have recently proved useful for estimating the sizes of large inclusions in clean steels.
Instead of estimating the sizes and velocities of targets based on the RCS and HRRPs, the quality of real-time imaging results can be employed to evaluate whether the pulse allocation proportion is effective.
A procedure is established for rapidly estimating the sizes and dispositions of large-amplitude vibrations resulting from the combined action of rotating and static forces in rotor assemblies incorporating oil-film bearings and dampers.
Incorporation of paired-end data should be particularly useful in estimating the sizes of insertions.
