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Published in 2017 at "Journal of The Korean Statistical Society"
DOI: 10.1016/j.jkss.2017.05.001
Abstract: Multiple imputation is a popular technique for analyzing incomplete data. Missing at random mechanism is often assumed when multiple imputation is performed, assuming that the response mechanism does not depend on the missing variable. However,…
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Keywords:
respondents outcome;
imputation;
response;
multiple imputation ... See more keywords
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Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad7623
Abstract: High-end mechanical equipment plays a crucial role in the manufacturing industry, making the monitoring of its operational status highly significant. Due to various factors such as environmental influences, the absence of monitoring signals in mechanical…
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Keywords:
data imputation;
tensor;
imputation method;
missing data ... See more keywords
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Published in 2023 at "PLOS Computational Biology"
DOI: 10.1101/2022.05.03.490388
Abstract: Missing observations in trait datasets pose an obstacle for analyses in myriad biological disciplines. Considering the mixed results of imputation, the wide variety of available methods, and the varied structure of real trait datasets, a…
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Keywords:
imputation method;
trait;
method;
dataset ... See more keywords
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Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.948349
Abstract: Establishment of vegetable soybean (edamame) [Glycine max (L.) Merr.] germplasms has been highly valued in Asia and the United States owing to the increasing market demand for edamame. The idea of core collection (CC) is…
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Keywords:
diversity;
vegetable soybean;
core collection;
imputation method ... See more keywords