Development of a computational framework for big data-driven prediction of long-term bridge...

[PDF] ieee.org

Ultra data-oriented parallel fractional hot-deck imputation with efficient linearized variance estimation

Y Yang, Y Kwon, JK Kim, IH Cho - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Parallel fractional hot-deck imputation (P-FHDI (Yang et al. 2020)) is a general-purpose,
assumption-free tool for handling item nonresponse in big incomplete data by combining the …
被引用次数：2 相关文章 所有 6 个版本

[引用][C] UP-FHDI: A Software for Big Incomplete Data Curing

Y Yang - 2023
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[PDF] core.ac.uk

[引用][C] EFFICIENT VARIABLE SELECTION METHODS FOR ADVANCED STATISTICAL LEARNING AND PREDICTION OF RIGID PAVEMENT SYSTEMS

I Song, S Kim, H Ceylan, IH Cho - A computational framework …, 2018 - Iowa State University
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