ENBIS 2021 Spring Meeting

Session

Stat Engineering

2.2.2

18 May 2021, 11:15

Online

Conveners

Stat Engineering

• Marcus Perry (University of Alabama)

66. Statistical Engineering: Finding Our Identity

Caleb King (JMP Division, SAS Institute Inc.)

18/05/2021, 11:15

Data Science in Process Industries

Statistical Engineering is gaining interest as a rising discipline. While there is near universal agreement as to the necessity of this discipline, there is still much confusion surrounding the particulars. How should Statistical Engineering relate to Statistics? How should it relate to other similar disciplines, such as Data Science or Operations Research? The results of several weeks of...

84. Statistical Engineering. Thoughts on the current situation and proposals for the future

Xavier Tort-Martorell (Universitat Politècnica de Catalunya. BarcelonaTECH)

18/05/2021, 11:35

Data Science in Process Industries

Five months ago, ISEA (International Statistical Engineering Association) organized a webminar with the title: “What It Is, What It Is Not, and How it Relates to Other Disciplines”. I was invited to participate as a discussant, which forced me to think about the topic. The two excellent presentations and the ensuing discussion gave me new points of view. In this presentation, I summarize my...

34. Enabling Scientists and Engineers to deploy and exploit Data Science in the Process Industries

Hadley Myers (JMP)

18/05/2021, 11:55

Data Science in Process Industries

Statistical modeling is, perhaps, the apex of data science activities in the process industries. These models allow analysts to gain a critical understanding of the main drivers of those processes to make key decisions and predict future outcomes. Interest in this field has led to accelerating innovation in the field of model development itself. There is a plethora of different modeling...