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Accession Number N20120014340
Title Evaluation of Regression Models of Balance Calibration Data Using an Empirical Criterion.
Publication Date Jun 2012
Media Count 25p
Personal Author N. Ulbrich T. R. Volden
Abstract An empirical criterion for assessing the significance of individual terms of regression models of wind tunnel strain gage balance outputs is evaluated. The criterion is based on the percent contribution of a regression model term. It considers a term to be significant if its percent contribution exceeds the empirical threshold of 0.05%. The criterion has the advantage that it can easily be computed using the regression coefficients of the gage outputs and the load capacities of the balance. First, a definition of the empirical criterion is provided. Then, it is compared with an alternate statistical criterion that is widely used in regression analysis. Finally, calibration data sets from a variety of balances are used to illustrate the connection between the empirical and the statistical criterion. A review of these results indicated that the empirical criterion seems to be suitable for a crude assessment of the significance of a regression model term as the boundary between a significant and an insignificant term cannot be defined very well. Therefore, regression model term reduction should only be performed by using the more universally applicable statistical criterion.
Keywords Calibrating
Linearity
Loads(Forces)
Mathematical models
Regression analysis
Statistical analysis
Strain gage balances
Wind tunnel apparatus
Wind tunnel tests


 
Source Agency National Aeronautics and Space Administration
NTIS Subject Category 72B - Algebra, Analysis, Geometry, & Mathematical Logic
51F - Test Facilities & Equipment
Corporate Author National Aeronautics and Space Administration, Moffett Field, CA. Ames Research Center.
Document Type Conference proceedings
Title Note N/A
NTIS Issue Number 1307
Contract Number NNA09DB39C

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