| タイトル | Evaluation of Regression Models of Balance Calibration Data Using an Empirical Criterion |
| 本文（外部サイト） | http://hdl.handle.net/2060/20120014340 |
| 著者（英） | Ulbrich, Norbert; Volden, Thomas R. |
| 著者所属（英） | Jacobs Technology, Inc. |
| 発行日 | 2012-06-24 |
| 言語 | eng |
| 内容記述 | 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. |
| NASA分類 | Numerical Analysis |
| レポートNO | ARC-E-DAA-TN4563
ARC-E-DAA-TN5309 |
| 権利 | Copyright, Distribution under U.S. Government purpose rights |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/241189 |
