- Code: Select all
Untransformed Estimates of coefficients for covariates (Beta's)
==============================================================================
estimate std.error
A1 : a1 0.673723 0.581493
A2 : a2 -0.500378 0.595789
A3 : a3 0.751076 0.688247
A4 : a4 0.113853 0.601400
Individual Site estimates of <Psi>
Site Survey Psi Std.err 95% conf. interval
1 site 1 survey_1: 0.6623 0.1300 0.3856 - 0.8598
============================================================
Individual Site estimates of <p>
Site Survey p Std.err 95% conf. interval
1 site 1 survey_1: 0.6623 0.1300 0.3856 - 0.8598
1 site 1 survey_2: 0.3775 0.1400 0.1587 - 0.6609
1 site 1 survey_3: 0.6794 0.1499 0.3548 - 0.8909
Here is an output from the same model run in Presence 5.9
- Code: Select all
Untransformed Estimates of coefficients for covariates (Beta's)
======================================================================
estimate std.error
A1 psi : 0.673723 0.581493
A2 p1 : -0.500378 0.595789
A3 p2 : 0.751076 0.688247
A4 p3 : 0.113853 0.601400
============================================================
Individual Site estimates of <psi>
Site estimate Std.err 95% conf. interval
psi 1 site 1 : 0.6623 0.1300 0.3856 - 0.8598
============================================================
Individual Site estimates of <p2>
Site estimate Std.err 95% conf. interval
p2 1 site 1 : 0.6794 0.1499 0.3548 - 0.8909
p3 1 site 1 : 0.5284 0.1499 0.2564 - 0.7846
: 0.0000 0.0000 0.0000 - 0.0000 fixed
Notice the difference in individual site estimates for detection probabilities.
EDIT: This seems to only occur when combining matrices in the design matrix.