Table 4 Parameters tested for sensitivity to prior distributions, with resulting percent relative change (PRC) and error measurements as coefficient of variation (CV) in the Bayesian state-space model.

From: A Bayesian state-space model using age-at-harvest data for estimating the population of black bears (Ursus americanus) in Wisconsin

Variable

Description

PRC

CV

LS − 10%

10% Underestimate of litter size

−0.68

0.68

LS + 10%

10% Overestimate of litter size

1.09

1.09

PR − 10%

10% Underestimate of pregnancy rate

−0.98

0.98

PR + 10%

10% Overestimate of pregnancy rate

1.25

1.25

HSm − 10%

10% Underestimate of male harvest season survival

−0.04

0.04

HSm + 10%

10% Overestimate of male harvest season survival

0.02

0.02

HSf − 10%

10% Underestimate of female harvest season survival

−0.43

0.43

HSf + 10%

10% Overestimate of female harvest season survival

0.93

0.92

NHS − 10%

10% Underestimate of non-harvest season survival

1.64

1.85

NHS + 10%

10% Overestimate of non-harvest season survival

N/A

N/A

Rep − 10%

10% Underestimate of reporting rate

7.33

7.26

Rep + 10%

10% Overestimate of reporting rate

N/A

N/A

CubSa − 10%

10% Underestimate of cub season a survival

−0.44

0.43

CubSa + 10%

10% Overestimate of cub season a survival

1.30

1.30

CubSb − 10%

10% Underestimate of cub season b survival

1.46

1.48

CubSb + 10%

10% Overestimate of cub season b survival

−1.49

1.49

N − 10%

10% Underestimate of starting population

−1.81

1.84

N + 10%

10% Overestimate of starting population

1.98

2.02