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Logistic regression analysis of operational errors and routine operations using sector characteristics
- Author / Creator
- Available as
- Online
- Physical
- Summary
-
"Two separate logistic regression analyses were conducted for low- and high-altitude sectors to determine whether a set of dynamic sector characteristics variables could reliably discriminate betwe...
"Two separate logistic regression analyses were conducted for low- and high-altitude sectors to determine whether a set of dynamic sector characteristics variables could reliably discriminate between operational error (OE) and routine operation (RO) traffic samples. OE data were derived from SATORI re-creations of OEs occurring at the Indianapolis Air Route Traffic Control Center between 9/17/2001 and 12/10/2003. RO data were extracted from System Analysis Recordings (SARs) taped between 5/8/2003 and 5/10/2003"--Report documentation page.
Details
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- Creator
- Elaine M. Pfleiderer, Cheryl L. Scroggins, Carol A. Manning
- Format
- Books
- Language
- English
- Contributors
- Publication
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- Washington, D.C. : Federal Aviation Administration, Office of Aerospace Medicine, 2009
- Ft. Belvior, Va. : Available to the public through the Defense Technical Information Center
- Springfield, Va. : Available to the public through the National Technical Information Service
- Physical Details
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- vi, 13, [2] pages : illustrations ; 28 cm
- OCLC
- ocn320411625, ocn318458180
- Cover title.
- "February 2009."
- "DOT/FAA/AM-09/4."
- Includes bibliographical references (pages 12-13).
- Also available online in PDF from the Aerospace Medicine Technical Reports Web site.