Thus, this study is aimed to propose an imputation method that is robust towards the presence of outliers for treating the missing rainfall data. Geometric median was applied to estimate the missing values based on the available rainfall data from neighbouring stations. The method was compared with...
The coverage probability of the enhanced method is close to the nominal confidence level of 95% in most scenarios.#We believe that the enhanced method, which builds upon the midpoint imputation method, is more effective than the midpoint imputation method itself. 展开 关键词: Cancer clinical ...
This method allows for conflicting beliefs and accommodates a range of uncertain numbers that may represent some observations, including an exact measurement. In contrast, traditional statistics falter when faced with uncertainty. This is where the intriguing potential of neutrosophic statistics comes into...
However, although probabilistic analysis was conducted using the bootstrap method, multiple imputation was carried out only once for each iteration, with a total of 1000 iterations to adequately retain between-imputation variance. The distribution of imputed values was visually checked for comparability ...
Evaluating the median p-value method for assessing the statistical significance of tests when using multiple imputationPeter C. AustinIris EekhoutStef van Buuren
Method of median semi-variance for the analysis of left-censored data: Comparison with other techniques using environmental datadoi:10.1016/j.chemosphere.2013.05.041Data imputationDetection limitTrace elementsNon-detected dataIn environmental monitoring, variables with analytically non-detected values are ...
The coverage probability of the enhanced method is close to the nominal confidence level of 95% in most scenarios.#We believe that the enhanced method, which builds upon the midpoint imputation method, is more effective than the midpoint imputation method itself.Yuki Nakagawa...
This paper proposes the single imputation of the median and the multiple imputations of the k -Nearest Neighbor (KNN) regressor to handle missing values of less than or equal to 10% and more than 10%, respectively. At the same time, the SMOTE-Tomek Links address the imbalanc...
the elastic net (ENet) method. In this paper, we propose an MI-based weighted elastic net (MI-WENet) method that is based on stacked MI data and a weighting scheme for each observation in the stacked data set. In the MI-WENet method, MI accounts for sampling and imputation uncertainty ...
Evaluating the median p -value method for assessing the statistical significance of tests when using multiple imputationView further author informationStef van BuurenView further author informationIris EekhoutView further author informationpeter.austin@ices.on.ca...