• 8193 Citations
  • 46 h-Index
1969 …2022
If you made any changes in Pure, your changes will be visible here soon.

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
Experiments Engineering & Materials Science
Statistical process control Engineering & Materials Science
Quality control Engineering & Materials Science
Process monitoring Engineering & Materials Science
Statistics Engineering & Materials Science
Monitoring Engineering & Materials Science
Sampling Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1969 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 journalArticle

Design of experiments
Optimal design

Discussion on “Challenges and new methods for designing reliability experiments”

Montgomery, D., Jan 2 2019, In : Quality Engineering. 31, 1, p. 122-124 3 p.

Research output: Contribution to journalComment/debate

1 Citation (Scopus)

Paper-based Vertical Flow Immunoassay (VFI) for detection of bio-threat pathogens

Chen, P., Gates-Hollingsworth, M., Pandit, S., Park, A., Montgomery, D., AuCoin, D., Gu, J. & Zenhausern, F., Jan 1 2019, In : Talanta. 191, p. 81-88 8 p.

Research output: Contribution to journalArticle

Burkholderia pseudomallei
Equipment and Supplies
4 Citations (Scopus)

50 years of the journal of quality technology

Jensen, W. A., Montgomery, D., Tsung, F. & Vining, G. G., Jan 1 2018, In : Journal of Quality Technology. 50, 1, p. 2-16 15 p.

Research output: Contribution to journalReview article

Historical analysis
3 Citations (Scopus)

Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study

Lujan-Moreno, G. A., Howard, P. R., Rojas, O. G. & Montgomery, D., Nov 1 2018, In : Expert Systems with Applications. 109, p. 195-205 11 p.

Research output: Contribution to journalArticle

Design of experiments
Learning algorithms
Learning systems
Neural networks

Projects 1996 2022