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Akaike's Information Criterion (AICc) ranking of a priori models used to estimate dependence of tick-borne encephalitis (TBE) human cases on vertebrate host and forest cover parameters.

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Akaike_s_Information_Criterion_AICc_ranking_of_a_priori_models_used_to_estimate_dependence_of_tick_borne_encephalitis_TBE_human_cases_on_vertebrate_host_and_forest_cover_parameters_/580753
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Df, Degrees of freedom; ΔAICc, difference in AICc between the best and the present model; ωi, Akaike's weight; Evidence ratios, ratio of Akaike's weights of the best and the present model. The table shows only the first five best-ranked models.§TBE, provinces where human TBE cases occurred; cop.hfor, density ratio of coppice to high stand forest cover; cop.mix, ratio of coppice to mixed forest cover; roe.deer, roe deer; red.deer, red deer density.
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2015-12-02
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