Development programs for aircraft engines (272 programs) and airframes (338 programs) were evaluated with step-wise regression analysis to find correlations with program cost; i.e., the coefficients of parametric models. Data covering the last 50 to 60 years were included to obtain robust log-log models with approximately 20 independent variables. Standard errors (S.E.E.) less than 0.10 (log megabucks), and multiple correlation coefficients (R-Square) greater than 0.995 were obtained, validating the use of data from programs in the distant past. Some unexpected influence coefficients were found for program cost drivers.
Forecasting Engine and Airframe Development Cost
Sae Technical Papers
Aerospace Technology Conference and Exposition ; 1995
1995-09-01
Aufsatz (Konferenz)
Englisch
Development in Engine-Airframe Integration
British Library Online Contents | 1993
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