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Percent of variable normal σ simulations for which AICc selected maximum likelihood (ML) estimation with beta or normal errors best or found no difference between the models (Same) from each simulation (k = 0.0002).

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Figshare2016-10-31 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Percent_of_variable_normal_simulations_for_which_AIC_c_selected_maximum_likelihood_ML_estimation_with_beta_or_normal_errors_best_or_found_no_difference_between_the_models_Same_from_each_simulation_k_8202_8202_0_0002_/241677
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Percent of variable normal σ simulations for which AICc selected maximum likelihood (ML) estimation with beta or normal errors best or found no difference between the models (Same) from each simulation (k = 0.0002).
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2016-10-31
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