FUEL ECONOMY OF AUTOMOTIVE VEHICLES-SOME STATISTICAL APPROACHES
Subjects covered by the paper include: interpolation, extrapolation and smoothing of time-series data; curvilinearity in the regression analysis of fuel-economy data; an approach to the regionalization of fuel-economy shortfall; and the effect of transforations of variables on the coefficient of determination (R2) in regression analysis.
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Supplemental Notes:
- Portions are illegible in Microfiche Products.
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Corporate Authors:
Falcon Research and Development
1 American Drive
Buffalo, NY United States 14225 -
Authors:
- McAdams, H T
- Publication Date: 1981-12
Media Info
- Pagination: 160 p.
Subject/Index Terms
- TRT Terms: Automobiles; Data analysis; Fuel consumption; Mathematical analysis; Regression analysis; Statistical analysis; Time series
- Subject Areas: Data and Information Technology; Energy; Highways; Vehicles and Equipment; I10: Economics and Administration;
Filing Info
- Accession Number: 00391422
- Record Type: Publication
- Source Agency: Energy Research Abstracts
- Report/Paper Numbers: DOE/PE/70032-T22
- Contract Numbers: AC01-79PE70032
- Files: TRIS
- Created Date: Jan 30 1985 12:00AM