Analyzing Data with Ordinal Responses Observed Continuously Over Time: Data from the Shadow FOT and E
Abstract
Recent operational tests for the Shadow and Gray Eagle (two unmanned air vehicle (UAV) systems employed by the U.S. Army) have used ordinal response metrics to assess each systems ability to provide a continuous video stream to the One System Remote Video Terminal (OSRVT), the system employed by the end user to view data from these UAVs. Data collectors assign levels from an ordinal scale continuously over the duration of each mission while covariates such as the antennae used by the receiving unit and the distance of the broadcasting air vehicle to the ground receiver are also recorded. Thus, we are faced with a problem of an ordinal response variable observed continuously over time. Since the covariates are also observed continuously over time, we are faced with a problem best suited to the tool of functional data analysis. However, the problem of ordinal responses observed continuously over time is not well discussed in the literature. Here, we present a variety of approaches for analyzing this unique but relevant type of data, using the recent FOT and E for the RQ-7B Shadow as an example. The research and article were funded by the cross-divisional statistics and data science working group (C9082), but were an outgrowth of work conducted by OED for DOT and E.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 2015
- Accession Number
- AD1123597
Entities
People
- Mark Orndorff
- Matthew Avery
Organizations
- Institute for Defense Analyses