Table 2 Summary of statistic results using model selection analysis.

From: Low efficiency of large volcanic eruptions in transporting very fine ash into the atmosphere

Models

Coefficients

p-value

AICc

RMSE (95%)

Error factor

Qs = c0Qac1

c0

89.211

5.93E-03***

22.49

3.27

26.31

c1

1.004

2.13E-06***

Qs = c0Qac1Hc2

c0

30.220

8.87E-03***

12.93

2.55

12.80

c1

0.505

1.05E-02**

c2

2.249

1.31E-03***

Qs = c0Qac(P1)Hc(P3)

c0

25.946

2.16E-02**

10.43

2.23

9.29

c(P1(lo))

0.721

5.65E-03***

c(P1(hi))

0.622

2.49E-03***

c(P3(cl))

1.950

1.80E-03***

c(P3(op))

1.396

3.17E-02**

  1. p-values quality is illustrated using asterisk (***Excellent; **very good). The AICc stands for corrected Akaike Information Criterion, the RMSE is given as the natural logarithm of the Root Mean Square Error for a 95% prediction interval and the error factor is calculated as the exponential of the RMSE.
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