Robust univariate missing data imputation in time series for air quality data

Tariku Tesfaye Haile; Fenglin Tian; Boping Tian

doi:10.1080/03610926.2025.2531400

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Robust univariate missing data imputation in time series for air quality data

Tariku Tesfaye Haile Fenglin Tian Boping Tian

Year: 2025 Journal: Communication in Statistics- Theory and Methods Pages: 1-21 Publisher: Taylor & Francis

DOI: 10.1080/03610926.2025.2531400

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Keywords:

Univariate Missing data Imputation (statistics) Computer science Time series Data mining Data quality Statistics Series (stratigraphy) Multivariate statistics Mathematics Machine learning Engineering Operations management

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Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Air Quality and Health Impacts

Physical Sciences → Environmental Science → Health, Toxicology and Mutagenesis

Air Quality Monitoring and Forecasting

Physical Sciences → Environmental Science → Environmental Engineering

Robust univariate missing data imputation in time series for air quality data

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