Industrial and Manufacturing Systems Engineering, Statistics
Journal or Book Title
In recent years, a great deal of effort has been invested in developing sensors to detect, locate, and identify “energetic” electromagnetic events. When observed through one type of imaging spectrometer, these events produce a data record that contains complete spectral and temporal information over the event’s evolution. This article describes the development of a statistical model for the data produced by a particular spectral–temporal sensor. While the application is unique in some ways, this approach to model building may be useful in other related contexts. Several plots, estimated parameters, and some additional details for an equation are provided in the Appendix which is available as supplementary material online.
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.
Reising, Monica Marie; Morris, Max D.; Vardeman, Stephen B.; and Higbee, Shawn, "Modeling Spectral–Temporal Data From Point Source Events" (2011). Statistics Publications. 95.