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ENBIS-26 Conference

Sep 6 – 10, 2026
Centro Didattico Morgagni
Europe/Rome timezone

Chair of the Local Organising Committee

Session

Software Session

Sep 8, 2026, 9:00 AM

Conveners

Software Session

  • Volker Kraft (JMP Statistical Discovery)

Presentation materials

There are no materials yet.

  1. 69. Optimal design, analysis and optimization in the presence of random effects using Minitab DoE by Effex platform
    Jose Nunez Ares (Minitab)
    9/8/26, 9:00 AM
    Other/special session/invited session

    Minitab DoE by Effex platform has been expanded to handle random blocks and complex split-plot structures with up to five levels of difficult-to-change factors. In this talk, we will first explain how random factors are considered when generating an optimal design. Then, we will explain how to assess the trade-off between run size and the quality of competing optimal design candidates. Next,...

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  2. 49. JASP for Quality Control: An Open-Source Software for Industrial Statistics
    Julius Pfadt (University of Amsterdam), Mr Don van den Bergh, Frantisek Bartos, Henrik Godmann, Jonas Petter, Johnny van Doorn, Simon Kucharsky, Eric-Jan Wagenmakers
    9/8/26, 9:30 AM
    Other/special session/invited session

    Quality control methods such as measurement systems analysis, control charts, capability studies, and design of experiments are central to modern manufacturing and increasingly used in service industries. However, many established software solutions (e.g., Minitab, JMP) are costly or require substantial technical expertise (e.g., R, Python). In this presentation, we introduce the Quality...

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  3. 58. JMP Developments in JMP 19 and Coming in JMP 20
    Chris Gotwalt (JMP Division of SAS Institute)
    9/8/26, 10:00 AM
    Other/special session/invited session

    JMP continues to develop powerful capabilities for statisticians and data scientists in industry. In the session we will demonstrate capabilities in JMP and JMP Pro 19 for Bayesian Optimization of multiple responses, and a new Causal Inference platform that makes establishing causality from observational data easily accessible to non-statistician researchers. We will also give a preview of new...

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