An Introduction to Space-Filling Designs and Gaussian Process Models


presented by Martin Bezener

In many cases, experimental data is the result of a deterministic simulation rather than a lab experiment. These may be referred to as computer experiments. In other cases, physical experiments may produce low or zero-error response measurements. Such situations need special experimental designs and data analysis tools. See how Stat-Ease 360 fills this need with via space-filling designs and Gaussian process models.

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Date: Wednesday, February 15, 2023
Time: 10:00am Central US Time