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Imputation: Methods, Simulation Experiments and Practical Examples
International Statistical Review, 1998SummaryWhen conducting surveys, two kinds of nonresponse may cause incomplete data files: unit nonresponse (complete nonresponse) and item nonresponse (partial nonresponse). The selectivity of the unit nonresponse is often corrected for. Various imputation techniques can be used for the missing values because of item nonresponse.
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Simpute: A Simple Genotype Imputation Method
2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems, 2012High-throughput technology for genotyping has made genome-wide associations possible. Single nucleotide polymorphism (SNP) data derived from array-based technology are usually flawed due to missing data, although they have generally high call rates and good concordance rates across different genotype calling schemes.
Yen Jen Lin +3 more
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Correlation Based Regression Imputation (CBRI) Method for Missing Data Imputation
2020To complete missing values in a dataset is crucial for data mining and machine learning applications. If any parameter of a dataset has missing values, the values of the other parameters corresponding to those missing values should not be excluded from the dataset in order to prevent information in the dataset.
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Imputation Method for Multidimensional Data
2023 3rd International Conference on Intelligent Technologies (CONIT), 2023Jay Naik, Anil Jadhav
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Imputation Methods for Single Variables
2018This chapter considers imputation methods for single variables. Naturally, it may be necessary to impute the values of several variables in each dataset and to carry out several imputations for each dataset. It is essential to understand the basics of Chap. 11, which presents the starting point for imputation methods.
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Missing Data and Imputation Methods
2011Missing data are a pervasive problem in many data sets and seem especially widespread in social and economic studies, such as customer satisfaction surveys. Imputation is an intuitive and flexible way to handle the incomplete data sets that result. We discuss imputation, multiple imputation (MI), and other strategies to handle missing data, together ...
MATTEI, ALESSANDRA +2 more
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