Imputation of missing data in life-history trait datasets: which approach performs the best?

作者: Caterina Penone , Ana D. Davidson , Kevin T. Shoemaker , Moreno Di Marco , Carlo Rondinini

DOI: 10.1111/2041-210X.12232

关键词: Data miningMissing dataSample size determinationMean squared errorTraitImputation (statistics)AllometryMathematicsData collectionMultivariate statisticsStatistics

摘要: Despite efforts in data collection, missing values are commonplace in life‐history trait databases. Because these values typically are not missing randomly, the common practice of …

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