APA Citation

Giannetti, C., Ransing, R., Ransing, M., Bould, D., Gethin, D., & Sienz, J. (2014). A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data. Computers & Industrial Engineering, 72, pp. 217-229. doi:10.1016/j.cie.2014.03.017

Chicago Style Citation

Giannetti, Cinzia, Rajesh Ransing, M.R Ransing, D.C Bould, David Gethin, and Johann Sienz. "A Novel Variable Selection Approach Based On Co-linearity Index to Discover Optimal Process Settings By Analysing Mixed Data." Computers & Industrial Engineering 72 (2014): 217-229.

MLA Citation

Giannetti, Cinzia, et al. "A Novel Variable Selection Approach Based On Co-linearity Index to Discover Optimal Process Settings By Analysing Mixed Data." Computers & Industrial Engineering 72 (2014): 217-229.

Warning: These citations may not always be 100% accurate.