Selecting a Most Useful Predictive Model
Ғылым және технология
This practically focused webinar provides tips and tricks for making the most from every response analysis, particularly for optimization of processes and products (mixture formulations). See how to apply sophisticated selection tools in Stat-Ease software to develop your best-possible predictive model. Gain insights on vital fit statistics such as predicted R-squared. Get a feel for picking from alternative models and when to press ahead to achieve your mission for process and/or product improvement. This talk is a must for all users of Design-Expert® and Stat-Ease® 360.
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Пікірлер: 2
Hi there, Can I use old data from somebody else and increase responses, and the design expert redesign another experiment for me so i do less experiment?
@StatisticsMadeEasybyStatEase
9 ай бұрын
In theory yes, you can import the old data in the software and use Design Augmentation to add more runs to fit a higher order model. In practice, there are many questions starting with - is the process still running the same as it did previously? Are you measuring the same way? Was the previous data from a designed experiment or was it historical data from the system? This is really a practical experimentation question. You can try and it may be successful, or it may not work well and you would get better information from a new experiment.