Use of Bayesian Modeling for Risk Assessment and Robustness Evaluation

Article Properties
  • Language
    English
  • DOI (url)
    10.1021/acs.oprd.3c00325
  • Publication Date
    2024/01/29
  • Journal
    Organic Process Research & Development
  • Indian UGC (journal)
  • Refrences
    20
  • Adam J. Freitag Chemical Process Development, Bristol Myers Squibb, One Squibb Drive, New Brunswick, New Jersey 08903, United States ORCID
  • Amanda J. Rogers Chemical Process Development, Bristol Myers Squibb, One Squibb Drive, New Brunswick, New Jersey 08903, United States
  • Jose E. Tabora Chemical Process Development, Bristol Myers Squibb, One Squibb Drive, New Brunswick, New Jersey 08903, United States
  • Daniel S. Treitler Chemical Process Development, Bristol Myers Squibb, One Squibb Drive, New Brunswick, New Jersey 08903, United States ORCID
Cite
Freitag, Adam J., et al. “Use of Bayesian Modeling for Risk Assessment and Robustness Evaluation”. Organic Process Research &Amp; Development, vol. 28, no. 2, 2024, pp. 511-23, https://doi.org/10.1021/acs.oprd.3c00325.
Freitag, A. J., Rogers, A. J., Tabora, J. E., & Treitler, D. S. (2024). Use of Bayesian Modeling for Risk Assessment and Robustness Evaluation. Organic Process Research &Amp; Development, 28(2), 511-523. https://doi.org/10.1021/acs.oprd.3c00325
Freitag, Adam J., Amanda J. Rogers, Jose E. Tabora, and Daniel S. Treitler. “Use of Bayesian Modeling for Risk Assessment and Robustness Evaluation”. Organic Process Research &Amp; Development 28, no. 2 (2024): 511-23. https://doi.org/10.1021/acs.oprd.3c00325.
Freitag AJ, Rogers AJ, Tabora JE, Treitler DS. Use of Bayesian Modeling for Risk Assessment and Robustness Evaluation. Organic Process Research & Development. 2024;28(2):511-23.
Journal Categories
Science
Chemistry
Science
Chemistry
Organic chemistry
Technology
Chemical technology
Polymers and polymer manufacture
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