Enhancing data completeness in time series: Imputation strategies for missing data using significant periodically correlated components.

Ahmad A, Rose EJ, Roy MS, Valachovic E

DOI: 10.1371/journal.pone.0350666
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0350666,
  title = {Enhancing data completeness in time series: Imputation strategies for missing data using significant periodically correlated components.},
  author = {Ahmad A and Rose EJ and Roy MS and Valachovic E},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0350666},
  url = {https://doi.org/10.1371/journal.pone.0350666}
}

RIS

TY  - JOUR
TI  - Enhancing data completeness in time series: Imputation strategies for missing data using significant periodically correlated components.
AU  - Ahmad A
AU  - Rose EJ
AU  - Roy MS
AU  - Valachovic E
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0350666
UR  - https://doi.org/10.1371/journal.pone.0350666
ER  -

APA

A, A., EJ, R., MS, R., & E, V. (2026). Enhancing data completeness in time series: Imputation strategies for missing data using significant periodically correlated components.. PloS one. https://doi.org/10.1371/journal.pone.0350666

Source records

pubmed · retrieved 2026-09-26T03:46:37.941Z