Weekly sales forecasting using time series decomposition with irregular seasonality: A case study of Sony TV sales in the United States
- DOI
- 10.1371/journal.pone.0344222
- Published
- 2026-11-03
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0344222,
title = {Weekly sales forecasting using time series decomposition with irregular seasonality: A case study of Sony TV sales in the United States},
author = {Arthur Matsuo Yamashita Rios de Sousa and Daisuke Ando and Junichi Ozaki and Yohei Shida and Qianyun Wu and Yixuan Y. Zheng and Zhihua Zhong and Rie Maskawa and Jiwei J. Jiang and Kay Nagayama and Hideki Takayasu and Misako Takayasu},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0344222},
url = {https://doi.org/10.1371/journal.pone.0344222}
}RIS
TY - JOUR TI - Weekly sales forecasting using time series decomposition with irregular seasonality: A case study of Sony TV sales in the United States AU - Arthur Matsuo Yamashita Rios de Sousa AU - Daisuke Ando AU - Junichi Ozaki AU - Yohei Shida AU - Qianyun Wu AU - Yixuan Y. Zheng AU - Zhihua Zhong AU - Rie Maskawa AU - Jiwei J. Jiang AU - Kay Nagayama AU - Hideki Takayasu AU - Misako Takayasu PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0344222 UR - https://doi.org/10.1371/journal.pone.0344222 ER -
APA
Sousa, A. M. Y. R. D., Ando, D., Ozaki, J., Shida, Y., Wu, Q., Zheng, Y. Y., Zhong, Z., Maskawa, R., Jiang, J. J., Nagayama, K., Takayasu, H., & Takayasu, M. (2026). Weekly sales forecasting using time series decomposition with irregular seasonality: A case study of Sony TV sales in the United States. PLOS One. https://doi.org/10.1371/journal.pone.0344222
Source records
- crossref · retrieved 2026-11-05T04:04:48.008Z