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. 2015 Sep 15;2015:207105. doi: 10.1155/2015/207105

Table 3.

The corresponding Bayes factor B^jj=P^(m=jy)/P^(M=jy) and AIC about four models based on A/H1N1 and Ebola data.

Data source j j
Logistic Gompertz Rosenzweig Richards
H1N1 Logistic 1 Inf Inf 1.34
Gompertz0 0 1 /
Rosenzweig0 0 / 1
Richards model 0.75 Inf Inf 1
AIC 249 362 592 254

West Africa Logistic 1 Inf Inf 2.1528
Gompertz0 0 1 /
Rosenzweig0 0 / 1
Richards model 0.4645 Inf Inf 1
AIC 5200 49500 1872800 5400

Guinea Logistic 1 Inf Inf 1.25
Gompertz0 0 1 /
Rosenzweig0 0 / 1
Richards model 0.8 Inf Inf 1
AIC 1991 3427 18476 1998

Liberia Logistic 1 Inf Inf
Gompertz0 0 1 /
Rosenzweig0 0 / 1
Richards model 5105 Inf Inf 1
AIC 6308 6547 7980 2559

Sierra Leona Logistic 1
Gompertz 102310 1 2.96 0.28
Rosenzweig 34750 0.34 1 0.095
Richards model 362940 3.55 10.48 1
AIC 15432 6251 7038 5400

— means a very small number.

Inf means a sufficiently big number.

0 means the probability of being chosen for model is zero.

/ means a no number (i.e., 0/0).