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Binary logistic regression models predicting substantial damage to Navy (USN) and Air Force (USAF) within the United States.

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下载链接:
https://figshare.com/articles/dataset/Binary_logistic_regression_models_predicting_substantial_damage_to_Navy_USN_and_Air_Force_USAF_within_the_United_States_/7288517
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资源简介:
This model represents the best as evaluated by the lowest Akaike’s Information Criterion (AIC) value (see S8 Table for other candidate models). McFadden’s r2 value is 0.23. Predictor variables include flyway (Central, Mississippi, Pacific, Atlantic), airframe (cargo, rotorcraft, stealth, fighter), avian log body mass, military branch, and the airframe × avian log body mass interaction.
创建时间:
2018-11-01
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