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Presentación:Tableta

## criteria = AIC ## variance.estimator = R2 ## truncation = 750 ## ## Summary for Individuals ## ## Estimates of Abundance (N) ## ## Truth mean.Estimate percent.bias RMSE CI.coverage.prob mean.se sd.of.means ## 1 900 916.67 1.85 149.89 0.97 155.99 149.04 ## ## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ## Estimates of Density (D) ## ## Truth mean.Estimate percent.bias RMSE CI.coverage.prob ## 1 9.113923e-07 9.282781e-07 1.852743 1.517923e-07 0.968969 ## mean.se sd.of.means ## 1 1.579674e-07 1.509258e-07 ## ## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ## ## Summary for Clusters ## ## Summary Statistics ## ## mean.Cover.Area mean.Effort mean.n mean.k mean.ER mean.se.ER ## 1 592153913 394769.3 106.7317 15.82883 0.0002704223 3.569565e-05 ## sd.mean.ER ## 1 2.137828e-05 ## ## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ## Estimates of Abundance (N) ## ## Truth mean.Estimate percent.bias RMSE CI.coverage.prob mean.se sd.of.means ## 1 300 300.49 0.16 45.02 0.97 49.01 45.04 ## ## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ## Estimates of Density (D) ## ## Truth mean.Estimate percent.bias RMSE CI.coverage.prob ## 1 3.037974e-07 3.042914e-07 0.1626056 4.55915e-08 0.970971 ## mean.se sd.of.means ## 1 4.962823e-08 4.561166e-08 ## ## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ## Estimates of Expected Cluster Size ## ## Truth mean.Expected.S percent.bias mean.se.ExpS sd.mean.ExpS ## 1 3 3.05 1.72 0.16 0.2 ## ## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ## ## Detection Function Values ## ## mean.observed.Pa mean.estimate.Pa sd.estimate.Pa mean.ESW sd.ESW ## 1 0.6 0.6 0.07 451.01 54.08 We can now check the results for the zigzag design