Christopher Nachtsheim, Professor and Chair of Operations and Management Sciences at Carlson School of Management, University of Minnesota

 

In this presentation, DOE: Is the Future Optimal?, I chronicle the history of designed experiments, summarize the current state of the art, and make prognostications about the future of DOE. Along the way, I will identify the weaknesses inherent in observational studies and why cause and effect can only be rigorously identified through designed experiments. We’ll explore the negative implications of this for “big data” and predictive modeling, as well as the nature of web-based experiments in social media. I’ll illustrate state-of-the-art methods using a number of real-world applications and JMP.

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      Published on ‎03-24-2025 08:54 AM by Community Manager Community Manager | Updated on ‎03-27-2025 09:18 AM

      Christopher Nachtsheim, Professor and Chair of Operations and Management Sciences at Carlson School of Management, University of Minnesota

       

      In this presentation, DOE: Is the Future Optimal?, I chronicle the history of designed experiments, summarize the current state of the art, and make prognostications about the future of DOE. Along the way, I will identify the weaknesses inherent in observational studies and why cause and effect can only be rigorously identified through designed experiments. We’ll explore the negative implications of this for “big data” and predictive modeling, as well as the nature of web-based experiments in social media. I’ll illustrate state-of-the-art methods using a number of real-world applications and JMP.

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          Start:
          Mon, Sep 19, 2016 09:00 AM EDT
          End:
          Fri, Sep 23, 2016 05:00 PM EDT
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