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Representing the most suitable model based on AICc (Corrected Akaike Information Criterion) and BIC (Bayesian Information Criterion) by grain developmental stages of Minpung cultivar.

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Figshare2024-11-26 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Representing_the_most_suitable_model_based_on_AICc_Corrected_Akaike_Information_Criterion_and_BIC_Bayesian_Information_Criterion_by_grain_developmental_stages_of_Minpung_cultivar_/27911436
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The AICc and BIC values are from the GMM analysis for Minpung (MP) cultivar harvested in Pocheon, Gyeonggi Province, South Korea in 2023. k = 1 means the assumption that the sample distribution is made up of one normal distribution, k = 2 assumes two normal distributions, and k = 3 assumes three normal distributions.
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2024-11-26
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