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Forecasting Engine and Airframe Development Cost
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English
Abstract
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.
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Citation
Culy, D., "Forecasting Engine and Airframe Development Cost," SAE Technical Paper 952031, 1995, https://doi.org/10.4271/952031.Also In
References
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