Table 4.

Estimated parameter values for proportionality constant, K and vector competence, $v_c$ with supportive and unsupportive priors

Season	K lower bound	vc from Supportive Prior		vc from Unsupportive Prior
		$\mathit{E}\left({\mathit{v}}_{\mathit{c}}\right)$	Credible Interval $\left(\mathit{v}_{\mathit{c}}^{\mathit{L}_{}^{\mathbf{\ast }}},,,\mathit{v}_{\mathit{c}}^{\mathit{U}_{}^{\mathbf{\ast }}}\right)$	$\mathit{E}\left({\mathit{v}}_{\mathit{c}}\right)$	Credible Interval $\left({\mathit{v}}_{\mathit{c}}^{\mathit{L}\mathbf{,}},{\mathit{v}}_{\mathit{c}}^{\mathit{U}}\right)$
1	$1.37\times {10}^{-06}$	0.7077	(0.6676,0.7455)	0.9329	(0.9091,0.9540)
2	$4.22\times {10}^{-06}$	0.6850	(0.6348,0.7310)	0.9286	(0.9029,0.9511)
3	$1.61\times {10}^{-06}$	0.7609	(0.7280,0.7920)	0.9404	(0.9196,0.9588)
4	$2.98\times {10}^{-06}$	0.7772	(0.7455,0.8067)	0.9425	(0.9228,0.9602)

E(.) represents the expected value. $v_c^{\ast }$ and $v_c^{\ast }$ represent the lower and upper bounds of the estimated vector competence for supportive beta prior. $v_c^L$ and $v_c^U$ represent the lower and upper bounds of the estimated vector competence for unsupportive beta prior