Plans | Advantages | Disadvantages | Use example |
Centered composite | Most accurate coefficients Uniform variance over the field of study | A few more tests Factors must be quantitative | The goal is a highly predictive model with few coefficient errors |
Hybrid | Accurate coefficients Fewer tests than the centered composite | Factors must be quantitative | The goal is to carry out fair coefficient prediction while still diminishing the number of tests |
Box Behnken | Comprised of only -1, 0, and 1, so it can possibly be used with other qualitative factors | Low accuracy with quadratic coefficients | The goal is to obtain a fair coefficient prediction, there is also at least one qualitative factor at 3 levels. |
Hoke | Plans almost saturated Minimal number of tests Comprised of only -1, 0, and 1, so it can possibly be used with qualitative factors | Low accuracy over all coefficients | We want to obtain an idea of the surface result but prioritize a low number of tests |
Doehlert networks | Capable of evolving strategies: - either by moving within the field of study - or progressively adding factors Relatively low number of tests | Low accuracy over all coefficients | A lower number of tests is prioritized, we also want to be able to develop the field of study during the course of testing |
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