For the latest version of JMP Help, visit JMP.com/help.


Publication date: 04/28/2021

Effect Sparsity

The principle of effect sparsity asserts that most of the variation in the response is explained by a relatively small number of effects. Screening designs, where many effects are studied, rely heavily on effect sparsity. Experience shows that the number of runs used in a screening design should be at least twice the number of effects that are likely to be significant.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).