Forecasting COVID19 Reliability of the Countries by Using Non-Homogeneous Poisson Process Models

Nevin Guler Dincer, Serdar Demir, Muhammet Oğuzhan Yalçin

Open source

DOI: 10.1007/s00354-022-00183-1
Published: 2022-07-03
Container: New Generation Computing
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00354-022-00183-1,
  title = {Forecasting COVID19 Reliability of the Countries by Using Non-Homogeneous Poisson Process Models},
  author = {Nevin Guler Dincer and Serdar Demir and Muhammet Oğuzhan Yalçin},
  year = {2022},
  journal = {New Generation Computing},
  doi = {10.1007/s00354-022-00183-1},
  url = {https://doi.org/10.1007/s00354-022-00183-1}
}

RIS

TY  - JOUR
TI  - Forecasting COVID19 Reliability of the Countries by Using Non-Homogeneous Poisson Process Models
AU  - Nevin Guler Dincer
AU  - Serdar Demir
AU  - Muhammet Oğuzhan Yalçin
PY  - 2022
JO  - New Generation Computing
DO  - 10.1007/s00354-022-00183-1
UR  - https://doi.org/10.1007/s00354-022-00183-1
ER  -

APA

Dincer, N. G., Demir, S., & Yalçin, M. O. (2022). Forecasting COVID19 Reliability of the Countries by Using Non-Homogeneous Poisson Process Models. New Generation Computing. https://doi.org/10.1007/s00354-022-00183-1

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crossref · retrieved 2026-09-26T01:43:16.616Z