references.bib

@mastersthesis{hameed2015smoothing,
  title={Smoothing techniques for time series forecasting},
  author={Hameed, Haifaa Hussein},
  year={2015},
  school={Eastern Mediterranean University (EMU)-Do{\u{g}}u Akdeniz {\"U}niversitesi (DA{\"U})}
}


@inproceedings{raudys2013moving,
  title={Moving averages for financial data smoothing},
  author={Raudys, Aistis and Len{\v{c}}iauskas, Vaidotas and Mal{\v{c}}ius, Edmundas},
  booktitle={Information and Software Technologies: 19th International Conference, ICIST 2013, Kaunas, Lithuania, October 2013. Proceedings 19},
  pages={34--45},
  year={2013},
  organization={Springer}
}

@article{fong2020finding,
  title={Finding an accurate early forecasting model from small dataset: A case of 2019-ncov novel coronavirus outbreak},
  author={Fong, Simon James and Li, Gloria and Dey, Nilanjan and Crespo, Rub{\'e}n Gonz{\'a}lez and Herrera-Viedma, Enrique},
  journal={arXiv preprint arXiv:2003.10776},
  year={2020}
}


@inproceedings{sinaga2020medical,
  title={A medical disposable supply demand forecasting by moving average and exponential smoothing method},
  author={Sinaga, H and Irawati, N},
  booktitle={Proceedings of the 2nd Workshop on Multidisciplinary and Applications (WMA) 2018, 24-25 January 2018, Padang, Indonesia},
  year={2020}
}





@article{ivanovski2018time,
  title={TIME SERIES FORECASTING USING A MOVING AVERAGE MODEL FOR EXTRAPOLATION OF NUMBER OF TOURIST.},
  author={Ivanovski, Zoran and Milenkovski, Ace and Narasanov, Zoran},
  journal={UTMS Journal of Economics},
  volume={9},
  number={2},
  year={2018}
}




@article{yang2018simulation,
  title={A simulation-based study on the comparison of statistical and time series forecasting methods for early detection of infectious disease outbreaks},
  author={Yang, Eunjoo and Park, Hyun Woo and Choi, Yeon Hwa and Kim, Jusim and Munkhdalai, Lkhagvadorj and Musa, Ibrahim and Ryu, Keun Ho},
  journal={International journal of environmental research and public health},
  volume={15},
  number={5},
  pages={966},
  year={2018},
  publisher={Multidisciplinary Digital Publishing Institute}
}

@article{karim2013electricity,
  title={Electricity load forecasting in UTP using moving averages and exponential smoothing techniques},
  author={Karim, SA Abdul and Alwi, Saiful Azli},
  journal={Applied Mathematical Sciences},
  volume={7},
  number={77-80},
  pages={4003--4014},
  year={2013}
}