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Mark-recapture analysis of natural populations

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Model selection for the dipper data (3)<br />

European dipper<br />

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Delta AICc Model<br />

Model AICc AICc Weight Likelihood #Par Deviance<br />

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{phi(flood)p(cte)} 666.160 0.00 0.60043 1.0000 3.0000 77.626<br />

{phi(flood+sexe)p(cte)} 668.116 1.96 0.22578 0.3760 4.0000 77.544<br />

{phi(flood*sexe)p(cte)} 670.134 3.97 0.08231 0.1371 5.0000 77.514<br />

{phi(cte)p(cte)} 670.866 4.71 0.05708 0.0951 2.0000 84.361<br />

{phi(sexe)p(cte)} 672.733 6.57 0.02244 0.0374 3.0000 84.199<br />

{phi(t)p(cte)} 673.998 7.84 0.01192 0.0199 7.0000 77.253<br />

{phi(t*sexe)p(cte)} 685.124 18.96 0.00005 0.0001 13.000 75.764<br />

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European dipper<br />

Reduced Model General Model Chi-sq. df Prob.<br />

------------------------- ------------------------- ---------- --- ------<br />

{phi(cte)p(cte)} {phi(flood)p(cte)} 6.735 1 0.0095

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