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Table 2 Model selection for the probability for making explorations ( dexp ) based on AICc and Akaike weights ( w i )

From: Exploration forays in juvenile European hares (Lepus europaeus): dispersal preludes or hunting-induced troubles?

Models

np

Deviance

AICc

ΔAICc

w i

Hypothesis 1

     

logit(dexp) = age

4

310.25

318.4

0.00

0.38

logit(dexp) = age + sex

5

309.36

319.6

1.18

0.21

logit(dexp) = age + disp

5

310.11

320.3

1.94

0.15

logit(dexp) = (.)

2

317.77

321.8

3.43

0.07

logit(dexp) = sex

3

316.46

322.5

4.16

0.05

logit(dexp) = age + sex*disp

7

308.65

323.0

4.65

0.04

logit(dexp) = age*sex

7

308.78

323.2

4.78

0.03

logit(dexp) = disp

3

317.74

323.8

5.44

0.03

logit(dexp) = sex + disp

4

316.25

324.4

6.00

0.02

logit(dexp) = age*sex + disp

8

308.35

324.8

6.46

0.02

logit(dexp) = sex*disp

5

316.15

326.4

7.97

0.01

logit(dexp) = age*sex + sex*disp

11

308.15

326.8

8.39

0.00

Hypothesis 2

     

logit(dexp) = age + per

6

294.25

306.5

0.00

0.33

logit(dexp) = age + per*disp

9

288.77

307.4

0.85

0.21

logit(dexp) = age + sex + per

7

293.52

307.9

1.37

0.17

logit(dexp) = age + disp + per

7

293.84

308.2

1.69

0.14

logit(dexp) = per

4

300.36

308.5

1.96

0.12

logit(dexp) = age + sex*per

9

293.00

311.6

5.08

0.03

logit(dexp) = age

4

310.25

318.4

11.84

0.00

logit(dexp) = age + sex

5

309.36

319.6

13.02

0.00

logit(dexp) = age + disp

5

310.11

320.3

13.78

0.00

  1. Models in bold character are those having the best support from the data in each hypothesis.