Table 17 Model comparison criteria: Mean BIC, mean DIC, mean ML, and mean fraction of non-rejected normality tests with KS for the unperturbed Ehrlich-tumor data.

From: Proper likelihood functions for parameter estimation in S-shaped models of unperturbed tumor growth

Model

\({\overline{BIC}}\)

\({\overline{DIC}}\)

\({\overline{ML}}\)

\(\overline{fr(KS)}\)

Norm

\(9.7976 \times 10^{1}\)

\(1.4196 \times 10^{2}\)

\(\mathbf {9.7207 \times 10^{-1}}\)

\(2.0000 \times 10^{-4}\)

Prop

\(1.0433 \times 10^{2}\)

\(1.4442 \times 10^{2}\)

\(9.2043 \times 10^{-1}\)

\(2.7164 \times 10^{-1}\)

Thres

\(9.6017 \times 10^{1}\)

\(\mathbf {1.3925 \times 10^{2}}\)

\(8.0212 \times 10^{-1}\)

\(\mathbf {2.7512 \times 10^{-1}}\)

Stud

\(9.7980 \times 10^{1}\)

\(1.4328 \times 10^{2}\)

\(9.6507 \times 10^{-1}\)

\(2.4000 \times 10^{-4}\)

StudProp

\(\mathbf {9.2215 \times 10^{1}}\)

\(1.4498 \times 10^{2}\)

\(5.6668 \times 10^{-1}\)

\(2.7290 \times 10^{-1}\)