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Candidate logistic mixed effects models estimating the occurrence of overlap between the mean 1 standard deviation of the location of the Tmax and the mean 1 standard error of the parameter estimate pattern was or was not observed).

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Candidate_logistic_mixed_effects_models_estimating_the_occurrence_of_overlap_between_the_mean_1_standard_deviation_of_the_location_of_the_Tmax_and_the_mean_1_standard_error_of_the_parameter_estimate_pattern_was_or_was_not_observed_/491680
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(i.e. Dnight or the linear intercept parameter respectively, if a diel pattern was or was not observed).log ℒ: Model log-likelihood; ΔAIC: Difference in AIC relative to model with lowest AIC value; Rel ℒ: Relative likelihood; AICw: AIC weight.
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2015-12-02
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