Perspectives on implementing statistical modeling and design (SMD) in an industrial/chemical environment

Karen D. Rappaport, Nouna Kettaneh, Svante Wold

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In the competitive environment of today’s chemical industry, an efficient approach of experimentation is necessary in all facets of research and development. This article discusses the tools of statistical modeling and design in this perspective, and reports the development of a program for the increased use of these tools at Hoechst Celanese Corporation, an international chemistry and polymers company based in New Jersey, USA.

Original languageEnglish (US)
Pages (from-to)152-159
Number of pages8
JournalAmerican Statistician
Volume52
Issue number2
DOIs
StatePublished - May 1998
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Mathematics(all)
  • Statistics, Probability and Uncertainty

Keywords

  • Applied statistics, Chemistry
  • Experimental design
  • Multivariate data

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