Table 2.

Number of times each of the six candidate models is the winner model in the MCP-Mod methodology.

LinearQuadraticExponentialemaxsigEmaxbetaMod
27171417442319313571034
LinearQuadraticExponentialemaxsigEmaxbetaMod
27171417442319313571034
Table 2.

Number of times each of the six candidate models is the winner model in the MCP-Mod methodology.

LinearQuadraticExponentialemaxsigEmaxbetaMod
27171417442319313571034
LinearQuadraticExponentialemaxsigEmaxbetaMod
27171417442319313571034
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