Research Output per year
Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 2 Similar Profiles
Design of experiments
Engineering & Materials Science
Logistics
Engineering & Materials Science
Sieves
Engineering & Materials Science
Fragrances
Engineering & Materials Science
Statistics
Engineering & Materials Science
Degradation
Engineering & Materials Science
Monitoring
Engineering & Materials Science
Experiments
Engineering & Materials Science
Network
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Research Output 2012 2019
Comparing D-optimal designs with common mixture experimental designs for logistic regression
Mancenido, M., Pan, R., Montgomery, D. & Anderson-Cook, C. M., Apr 15 2019, In : Chemometrics and Intelligent Laboratory Systems. 187, p. 11-18 8 p.Research output: Contribution to journal › Article
Design of experiments
Logistics
Optimal design
Experiments
Application of 3D Imaging Technology to Latent Fingermark Aging Studies
De Alcaraz-Fossoul, J., Mancenido, M., Soignard, E. & Silverman, N., Jan 1 2018, (Accepted/In press) In : Journal of Forensic Sciences.Research output: Contribution to journal › Article
Technology
Optical Imaging
1
Citation
(Scopus)
Ridge Width Correlations between Inked Prints and Powdered Latent Fingerprints
De Alcaraz-Fossoul, J., Barrot-Feixat, C., Zapico, S. C., Mancenido, M., Broatch, J., Roberts, K. A., Carreras-Marin, C. & Tasker, J., Jul 1 2018, In : Journal of Forensic Sciences. 63, 4, p. 1085-1091 7 p.Research output: Contribution to journal › Article
Dermatoglyphics
Law Enforcement
Crime
Databases
Separation in D-optimal experimental designs for the logistic regression model
Park, A. R., Mancenido, M. & Montgomery, D., Jan 1 2018, (Accepted/In press) In : Quality and Reliability Engineering International.Research output: Contribution to journal › Article
Design of experiments
Logistics
Maximum likelihood estimation
Experimental design
Logistic regression model
1
Citation
(Scopus)
Analysis of subjective ordinal responses in mixture experiments
Mancenido, M., Pan, R. & Montgomery, D., Jan 1 2016, In : Journal of Quality Technology. 48, 2, p. 196-208 13 p.Research output: Contribution to journal › Article
Fragrances
Experiments
Experiment
Stereotypes
Modeling
Projects 2017 2020
- 1 Active
Center of Excellence for Accelerating Operational Efficiency (CAOE)
Maciejewski, R., Roe-Sepowitz, D., Liu, H., Askin, R., Kull, T., Ahn, G., Mirchandani, P., Mancenido, M., Bliss, N., Tong, H., He, J., Sefair, J., Chiou, E. & Pedrielli, G.
9/1/17 → 6/30/20
Project: Research project