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Accession Number
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N20120014340
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Title
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Evaluation of Regression Models of Balance Calibration Data Using an Empirical Criterion.
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Publication Date
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Jun 2012
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Media Count
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25p
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Personal Author
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N. Ulbrich T. R. Volden
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Abstract
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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.
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Keywords
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Calibrating
Linearity
Loads(Forces)
Mathematical models
Regression analysis
Statistical analysis
Strain gage balances
Wind tunnel apparatus
Wind tunnel tests
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Source Agency
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National Aeronautics and Space Administration
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NTIS Subject Category
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72B - Algebra, Analysis, Geometry, & Mathematical Logic
51F - Test Facilities & Equipment
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Corporate Author
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National Aeronautics and Space Administration, Moffett Field, CA. Ames Research Center.
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Document Type
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Conference proceedings
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Title Note
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N/A
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NTIS Issue Number
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1307
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Contract Number
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NNA09DB39C
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