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Model selection results for fitted models ranked by AICc with number of parameters (K), log likelihood (LL), and AICc weights (wi) to estimate black bear density in south-central Missouri, USA, for extensive and intensive sampling designs.

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Model_selection_results_for_fitted_models_ranked_by_AIC_c_with_number_of_parameters_K_log_likelihood_LL_and_AIC_c_weights_w_i_to_estimate_black_bear_density_in_south_central_Missouri_USA_for_extensive_and_intensive_sampling_designs_/1220971
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We fitted models using the half-normal detection function with baseline capture probability (g0) and scale parameter (σ). Effects on g0 and σ included time as a factor (t), global learned response (b), snare-specific learned response (bk), and a snare-specific Markovian response (Bk), and sex. Parameters with “.” indicate no effect.Model selection results for fitted models ranked by AICc with number of parameters (K), log likelihood (LL), and AICc weights (wi) to estimate black bear density in south-central Missouri, USA, for extensive and intensive sampling designs.
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2015-12-02
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