@Artical{PanyukovMezaalOptima:TR,
  author    = {Anatoly V. Panyukov and Yasir Ali Mezaal},
  booktitle = {Advances in Optimization and Applications},
  title     = {Improving of the Identification Algorithm for a Quasilinear Recurrence Equation},
  doi       = {10.1007/978-3-030-65739-0\_2},
  editor    = {Nicholas Olenev and Yuri Evtushenko and Michael Khachay and Vlasta Malkova},
  isbn      = {978-3-030-65739-0},
  pages     = {15--26},
  publisher = {Springer International Publishing},
  url       = {https://doi.org/10.1007/978-3-030-65739-0\_2},
  volume    = {1340},
  abstract  = {Identification of quasilinear recurrence equations (QRE) may be reduced to the problem of regression analysis with mutually dependent observable variables. It is possible to use the generalized least deviations method (GLDM) for such problems. GLDM-estimation consists of solving the sequence of the WLDM-estimation problems. We propose the algorithm to solve the WLDM-estimation problem. Computational complexity of this algorithm does not exceed the quantity {\$}{\$}O(N^2T+T^2){\$}{\$}O(N2T+T2), where N is the number of coefficients in the considered equation, T is the number of observed readings. The computational complexity of solving practical GLDM estimation problems does not exceed {\$}{\$}O(N^3T+NT^2){\$}{\$}O(N3T+NT2). Results of computational experiments to solve the problem of identifying the recurrence equation of the stock market index in Iraq by original data from the site ISX-IQ.net are presented. This results show the possibility to apply a second order quasilinear recurrence equation with quadratic nonlinearity for these purposes. Perhaps increasing the order of the recurrence equation and the accuracy of the calculations give better results.},
  address   = {Cham},
  year      = {2020},
}

@Artical{AVP_YaAM_2019:TR,
  abstract  = {The generalized least absolute deviation method is an alternative to the least squares method. Together with an appropriate choice of the loss function, it ensures the stability and efficiency of estimating the coefficients of autoregressive models. This paper is devoted to the previously considered methods for finding the parameters of linear regression and autoregressive models without exogenous variables extend to the problem of estimating the parameters of autoregressive models with exogenous variables.},
  author    = {A. V. Panyukov and Ya. A. Mezaal.},
  booktitle = {IFAC-PapersOnLine},
  doi       = {10.1016/j.ifacol.2018.08.217},
  keywords  = {Control engineering; Optimization; Parameter estimation; Auto regressive models; Computational science; Demand forecasting; Exogenous variables; Least absolute deviations; Least squares methods; Loss functions},
  month     = {January},
  note      = {Open access},
  owner     = {Панюков},
  pages     = {1666-1669},
  timestamp = {2020.02.22},
  title     = {Stable estimation of autoregressive model parameters with exogenous variables on the basis of the generalized least absolute deviation method},
  url       = {https://doi.org/10.1016/j.ifacol.2018.08.217},
  volume    = {51(11)},
  year      = {2018},
}

@Article{PanWang:TR,
  author    = {J. Pan and H. Wang and Y. Qiwei},
  title     = {Weighted Least Absolute Deviations Estimation for ARMA Models with Infinite Variance},
  pages     = {852-879},
  volume    = {23(3)},
  journal   = {Econometric Theory},
  owner     = {Панюков},
  timestamp = {2018.06.20},
  year      = {2007},
}

@Article{PanTyrsVibro:TR,
  author    = {A.V. Panyukov and A.N. Tyrsin},
  title     = {Stable Parametric Identification of Vibratory Diagnostics Objects},
  number    = {2},
  pages     = {142-146},
  url       = {https://www.extrica.com/article/10181},
  volume    = {10},
  journal   = {Journal of Vibroengineering},
  timestamp = {2016.10.19},
  year      = {2008},
}

@Article{Panchal2021:TR,
  author  = {R. Panchal and B. Kumar},
  title   = {Forecasting industrial electric power consumption using regression based predictive model},
  doi     = {10.1201/9781003193838-26},
  url     = {https://doi.org/10.1201/9781003193838-26},
  journal = {Recent Trends in Communication and Electronics},
  year    = {2021},
}

@Article{Yakubova2019:TR,
  author  = {D.M. Yakubova},
  title   = {Econometric models of development and forecasting of black metallurgy of Uzbekistan},
  doi     = {10.5958/2278-4853.2019.00205.2},
  issue   = {5},
  pages   = {310-314},
  url     = {https://doi.org/10.5958/2278-4853.2019.00205.2},
  volume  = {8},
  journal = {Asian Journal of Multidimensional Research (AJMR)},
  year    = {2019},
}

@Article{Neto2020:TR,
  author  = {A.B.S. Neto and T.A.E. Ferreira and M.C.M. Batista and P.R.A. Firmino},
  title   = {Studying the Performance of Cognitive Models in Time Series Forecasting},
  doi     = {10.22456/2175-2745.96181},
  issn    = {2175-2745},
  number  = {1},
  pages   = {83-91},
  url     = {https://doi.org/10.22456/2175-2745.96181},
  volume  = {27},
  journal = {Revista de Informatica Teorica e Aplicada},
  year    = {2020},
}

@Article{Sirotin2020:TR,
  author  = {D.V. Sirotin},
  title   = {Neural network approach to forecasting the cost of ferroalloy products},
  doi     = {10.17073/0368-0797-2020-1-78-83},
  pages   = {78-83},
  url     = {https://doi.org/10.17073/0368-0797-2020-1-78-83},
  volume  = {63(1)},
  journal = {Izvestiya. Ferrous Metallurgy},
  year    = {2020},
}

@Article{Abotaleb2021:TR,
  author  = {T. Makarovskikh and M. Abotaleb},
  title   = {Comparison Between Two Systems for Forecasting Covid-19 Infected Cases},
  doi     = {10.1007/978-3-030-86582-5\_10},
  pages   = {107-114},
  url     = {https://doi.org/10.1007/978-3-030-86582-5\_10},
  volume  = {616},
  journal = {IFIP Advances in Information and Communication Technology},
  year    = {2021},
}

% Пример bib-записи для статьи в русскоязычном журнале.
@Article{PAV-RC-2013:TR,
  author = {Panyukov, A.V.},
  title = {Scalability of Algorithms for Arithmetic Operations in Radix Notation},
  journal = {Reliable Computing},
  volume = {19},
  pages = {417--434},
  year = {2015},
  url={http://interval.louisiana.edu/reliable-computing-journal/volume-19/reliable-computing-19-pp-417-434.pdf}
}

@Article{DBLP:journals/kbs/LiWZ21:TR,
  author = {Li, Q. and Wang, J. and Zhang, H.},
  title = {A wind speed interval forecasting system based on constrained lower upper bound estimation and parallel feature selection},
  journal = {Knowl. Based Syst.},
  year = {2021},
  volume = {231},
  url = {https://doi.org/10.1016/j.knosys.2021.107435},
  doi = {10.1016/j.knosys.2021.107435}
}

%номер статьи 107435

@Article{DBLP:journals/candie/KhasheiC21:TR,
  author = {Khashei, M. and Chahkoutahi, F.},
  title = {A comprehensive low-risk and cost parallel hybrid method for electricity load forecasting},
  journal = {Comput. Ind. Eng.},
  year = {2021},
  volume = {155},
  url = {https://doi.org/10.1016/j.cie.2021.107182},
  doi = {10.1016/j.cie.2021.107182}
}

%номер статьи 107182

@Article{Supuwiningsih2018:TR,
  author = {Supuwiningsih, N.N. and Kadeksukerti, N. and Putra, A. and Dewanti P.},
  title = {Forecasting of Agricultural Production Results in South Denpasar Using Quadratic Trend Method Based GIS},
  journal = {International Journal of Engineering Technologies and Management Research},
  year = {2018},
  volume = {5},
  issue = {2},
  url = {https://doi.org/10.5281/zenodo.1186523},
  doi = {10.5281/zenodo.1186523}
}


@ARTICLE{DBLP:journals/access/DashCGPF21:TR,
  author={Dash, Sujata and Chakraborty, Chinmay and Giri, Sourav Kumar and Pani, Subhendu Kumar and Frnda, Jaroslav},
  journal={IEEE Access},
  title={BIFM: Big-Data Driven Intelligent Forecasting Model for COVID-19},
  year={2021},
  volume={9},
  number={},
  pages={97505-97517},
  url={https://doi.org/10.1109/ACCESS.2021.3094658},
  doi={10.1109/ACCESS.2021.3094658}
}

@ARTICLE{Corpas2021:TR,
  author={F. Corpas-Burgos and M.A. Martinez-Beneito},
  journal={Mathematics},
  title={An Autoregressive Disease Mapping Model for Spatio-Temporal Forecasting},
  year={2021},
  volume={9},
  number={384},
  url={https://doi.org/10.3390/math9040384},
  doi={10.3390/math9040384}
}

@Online{MakGit2022:TR,
  author  = {T. Makarovskikh and A. Panyukov and M. Abotaleb},
  title   = {Generalized least deviation method for identification of quasi-linear autoregressive model},
  url     = {https://github.com/tmakarovskikh/GLDMPredictor.git},
  urldate = {2022-07-27},
}

@InProceedings{Abotaleb2021IEEE:TR,
  author    = {Abotaleb Mostafa S.A. and Makarovskikh Tatiana},
  booktitle = {2021 International Conference on Information Technology and Nanotechnology (ITNT)},
  title     = {Analysis of Neural Network and Statistical Models Used for Forecasting of a Disease Infection Cases},
  doi       = {10.1109/ITNT52450.2021.9649126},
  pages     = {1--7},
  url       = {https://doi.org/10.1109/ITNT52450.2021.9649126},
  year      = {2021},
}

@article{DBLP:journals/access/FrijiHGBM21:TR,
  author    = {Hamdi, Friji and
               Raby, Hamadi and
               Hakim, Ghazzai and
               Hichem, Besbes and
               Yehia, Massoud},
  title     = {A Generalized Mechanistic Model for Assessing and Forecasting the
               Spread of the COVID-19 Pandemic},
  journal   = {{IEEE} Access},
  volume    = {9},
  pages     = {13266--13285},
  year      = {2021},
  url       = {https://doi.org/10.1109/ACCESS.2021.3051929},
  doi       = {10.1109/ACCESS.2021.3051929}
}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@online{AbotalebGit2022:TR,
	author    = {Mostafa Abotaleb},
	title     = {GLDM-model},
	url       = {https://github.com/abotalebmostafa11/GLDM-model},
	urldate   = {2022-10-04}
}

@online{AbotalebGit2023:TR,
	author    = {Mostafa Abotaleb},
	title     = {Experiments results},
	url       = {https://abotalebmostafa11.github.io/Results_html/},
	urldate   = {2023-06-14},
	language  = {russian}
}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ПРИМЕРЫ РЕДАКЦИИ
@article{EpishevIMMSSZE13,
	author    = {Виталий Владимирович Епишев and
	Александр Петрович Исаев and
	Руслан Марсович Миниахметов and
	Александр Вячеславович Мовчан and
	Алексей Сергеевич Смирнов and
	Леонид Борисович Соколинский and
	Михаил Леонидович Цымблер and
	Вадим Викторович Эрлих},
	title     = {Система интеллектуального анализа данных физиологических исследований в спорте высших достижений},
	journal   = {Вестник ЮУрГУ. Серия: Вычислительная математика и информатика},
	volume    = {2},
	number    = {1},
	pages     = {44--54},
	year      = {2013},
	url		  = {https://doi.org/10.14529/cmse130105},
	doi       = {10.14529/cmse130105},
	language  = {russian}
}

% Пример bib-записи для статьи в англоязычном журнале.
@article{DBLP:journals/pcs/LevshinM09,
	author    = {Dmitry V. Levshin and A. S. Markov},
	title     = {Algorithms for integrating PostgreSQL with the semantic web},
	journal   = {Program. Comput. Softw.},
	volume    = {35},
	number    = {3},
	pages     = {136--144},
	year      = {2009},
	url       = {https://doi.org/10.1134/S0361768809030025},
	doi       = {10.1134/S0361768809030025},
	timestamp = {Sun, 06 Sep 2020 18:04:07 +0200},
	biburl    = {https://dblp.org/rec/journals/pcs/LevshinM09.bib},
	bibsource = {dblp computer science bibliography, https://dblp.org}
}

% Пример bib-записи статьи в arXiv.
@article{DBLP:journals/corr/abs-2008-12256,
	author    = {Leonid B. Sokolinsky},
	title     = {BSF-skeleton: user manual},
	journal   = {CoRR},
	volume    = {abs/2008.12256},
	year      = {2020},
	url       = {https://arxiv.org/abs/2008.12256},
	eprinttype = {arXiv},
	eprint    = {2008.12256},
	timestamp = {Tue, 15 Sep 2020 20:52:22 +0200},
	biburl    = {https://dblp.org/rec/journals/corr/abs-2008-12256.bib},
	bibsource = {dblp computer science bibliography, https://dblp.org},
}

% Пример bib-записи статьи в серии сборников трудов.
@inproceedings{ChetverushkinYKS19,
	author    = {Chetverushkin, Boris N. and
	Yakobovskiy, Mikhail V. and
	Kornilina, Marina A. and
	Semenova, Alena V.},
	editor    = {Sokolinsky, Leonid and
	Zymbler, Mikhail},
	title     = {Numerical Algorithms for {HPC} Systems and Fault Tolerance},
	booktitle = {Parallel Computational Technologies},
	series    = {Communications in Computer and Information Science},
	volume    = {1063},
	year      = {2019},
	publisher = {Springer},
	address   = {Cham},
	pages     = {34--44},
	doi       = {10.1007/978-3-030-28163-2_3},
	isbn      = {978-3-030-28163-2}
}

% Пример bib-записи статьи в русскоязычных трудах конференции.
@inproceedings{AkimovaB10,
	author    = {Елена Николаевна Акимова and Дмитрий Владимирович Белоусов},
	title     = {Распараллеливание решения линейной обратной задачи на МВС-1000 и графических процессорах},
	booktitle = {Параллельные вычислительные технологии (ПаВТ’2010): Труды международной научной конференции, Уфа, 29~марта~-- 2~апреля, 2010},
	pages     = {18--27},
	publisher = {Издательский центр ЮУрГУ},
	address   = {Челябинск},
	year      = {2010},
	language  = {russian}
}

% Пример bib-записи статьи в англоязычных трудах конференции.
@inproceedings{DBLP:conf/npc/LiuWZGL12,
	author    = {Gangfeng Liu and
	Yunlan Wang and
	Tianhai Zhao and
	Jianhua Gu and
	Dongyang Li},
	editor    = {James J. Park and
	Albert Y. Zomaya and
	Sang{-}Soo Yeo and
	Sartaj Sahni},
	title     = {mHLogGP: {A} Parallel Computation Model for {CPU/GPU} Heterogeneous Computing Cluster},
	booktitle = {Network and Parallel Computing, 9th {IFIP} International Conference, {NPC} 2012, Gwangju, Korea, September 6--8, 2012. Proceedings},
	series    = {Lecture Notes in Computer Science},
	volume    = {7513},
	pages     = {217--224},
	publisher = {Springer},
	year      = {2012},
	url       = {https://doi.org/10.1007/978-3-642-35606-3_25},
	doi       = {10.1007/978-3-642-35606-3_25},
	timestamp = {Tue, 14 May 2019 10:00:51 +0200},
	biburl    = {https://dblp.org/rec/conf/npc/LiuWZGL12.bib},
	bibsource = {dblp computer science bibliography, https://dblp.org}
}

% Пример bib-записи сборника трудов конференции.
@proceedings{DBLP:conf/eforensics/2010,
	editor    = {Xuejia Lai and
	Dawu Gu and
	Bo Jin and
	Yongquan Wang and
	Hui Li},
	title     = {Forensics in Telecommunications, Information, and Multimedia - Third International {ICST} Conference, e-Forensics 2010, Shanghai, China, November 11--12, 2010, Revised Selected Papers},
	series    = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
	volume    = {56},
	publisher = {Springer},
	year      = {2011},
	url       = {https://doi.org/10.1007/978-3-642-23602-0},
	doi       = {10.1007/978-3-642-23602-0},
	isbn      = {978-3-642-23601-3},
	timestamp = {Fri, 26 May 2017 00:48:49 +0200},
	biburl    = {https://dblp.org/rec/conf/eforensics/2010.bib},
	bibsource = {dblp computer science bibliography, https://dblp.org}
}

% Пример bib-записи раздела книги с собственным названием.
@incollection{DBLP:books/sp/byeon2010/RiedelSMWL10,
	author    = {Morris Riedel and
	Achim Streit and
	Daniel Mallmann and
	Felix Wolf and
	Thomas Lippert},
	editor    = {Ok{-}Hwan Byeon and
	Jang Hyuk Kwon and
	Thom H. Dunning and
	Kumwon Cho and
	Aurore Savoy{-}Navarro},
	title     = {Experiences and Requirements for Interoperability Between {HTC} and {HPC}-driven e-Science Infrastructure},
	booktitle = {Future Application and Middleware Technology on e-Science},
	pages     = {113--123},
	publisher = {Springer},
	year      = {2010},
	url       = {https://doi.org/10.1007/978-1-4419-1719-5_12},
	doi       = {10.1007/978-1-4419-1719-5_12},
	timestamp = {Wed, 25 Oct 2017 12:49:18 +0200},
	biburl    = {https://dblp.org/rec/books/sp/byeon2010/RiedelSMWL10.bib},
	bibsource = {dblp computer science bibliography, https://dblp.org}
}

% Пример bib-записи главы книги.
@inbook{WinskelN95,
	author    = {Winskel, Glynn and Niels:TR, Mogens},
	title     = {Models for Concurrency},
	year      = {1995},
	isbn      = {0198537808},
	publisher = {Oxford University Press, Inc.},
	address   = {USA},
	booktitle = {Handbook of Logic in Computer Science (Vol. 4): Semantic Modelling},
	pages     = {1--148},
	numpages  = {148},
	url       = {https://doi.org/10.5555/218623.218630},
	doi       = {10.5555/218623.218630}
}

% Пример bib-записи русскоязычной книги.
@book{Eremin09,
	author    = {Иван Иванович Ерёмин},
	title     = {Фейеровские методы для задач выпуклой и линейной оптимизации},
	publisher = {Изд-во ЮУрГУ},
	address   = {Челябинск},
	year      = {2009},
	pages	  = {200},
	language  = {russian}
}

% Пример bib-записи англоязычной книги.
@book{YangZDP20,
	author    = {Yang, Qiang and
	Zhang, Yu and
	Dai, Wenyuan and
	Pan, Sinno Jialin},
	title     = {Transfer Learning},
	publisher = {Cambridge University Press},
	address   = {Cambridge},
	year      = {2020},
	pages	  = {390},
	doi       = {10.1017/9781139061773}
}

% Пример bib-записи русскоязычного источника в Интернете.
@online{Levin,
	author    = {Владимир Константинович Левин},
	title     = {Отечественные суперкомпьютеры семейства МВС},
	url       = {http://parallel.ru/mvs/levin.html},
	urldate   = {2012-05-27},
	language  = {russian}
}

% Пример bib-записи англоязычного источника в Интернете.
@online{Harkins08,
	author    = {D. Harkins},
	title     = {Synthetic Initialization Vector (SIV) Authenticated Encryption Using the Advanced Encryption Standard (AES)},
	year      = {2008},
	url 	  = {http://tools.ietf.org/html/rfc5297},
	urldate   = {2012-05-27},
	language  = {russian}
}

% Пример bib-записи технического отчета.
@techreport{PageBMW99,
	number    = {1999-66},
	author    = {Lawrence Page and
	Sergey Brin and
	Rajeev Motwani and
	Terry Winograd},
	title     = {The PageRank Citation Ranking: Bringing Order to the Web},
	type      = {Technical Report},
	year      = {1999},
	institution = {Stanford InfoLab},
	url       = {http://ilpubs.stanford.edu:8090/422/}
}

% Пример bib-записи диссертации.
@phdthesis{DBLP:phd/dnb/Vasquez19,
	author    = {Leonardo Solis{-}Vasquez},
	title     = {Accelerating Molecular Docking by Parallelized Heterogeneous Computing - {A} Case Study of Performance, Quality of Results, and Energy-Efficiency using CPUs, GPUs, and FPGAs},
	school    = {Darmstadt University of Technology, Germany},
	year      = {2019},
	url       = {http://tuprints.ulb.tu-darmstadt.de/9288/},
	timestamp = {Sat, 17 Jul 2021 09:03:01 +0200},
	biburl    = {https://dblp.org/rec/phd/dnb/Vasquez19.bib},
	bibsource = {dblp computer science bibliography, https://dblp.org}
}

@Comment{jabref-meta: databaseType:biblatex;}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@article{yapar2018modified:TR,
  title={Modified holt's linear trend method},
  author={Yapar, Guckan and Capar, Sedat and Selamlar, Hanife Taylan and Yavuz, Idil},
  journal={Hacettepe Journal of Mathematics and Statistics},
  volume={47},
  number={5},
  pages={1394--1403},
  year={2018}
}
@inproceedings{shukor2021forecasting:TR,
  title={Forecasting Stock Market Price of Gold, Silver, Crude Oil and Platinum by Using Double Exponential Smoothing, Holt’s Linear Trend and Random Walk},
  author={Shukor, Shuhaidah Abdul and Sufahani, Suliadi Firdaus and Khalid, Kamil and Abd Wahab, Mohd Helmy and Idrus, Syed Zulkarnain Syed and Ahmad, Asmala and Subramaniam, Tamil Selvan},
  booktitle={Journal of Physics: Conference Series},
  volume={1874},
  number={1},
  pages={012087},
  year={2021},
  organization={IOP Publishing}
}
@inproceedings{kapusta2021holt:TR,
  title={Holt's Linear Model of COVID-19 Morbidity Forecasting in Ukraine.},
  author={Kapusta, Darina and Krivtsov, Serhii and Chumachenko, Dmytro},
  booktitle={MoMLeT+ DS},
  pages={16--25},
  year={2021}
}
@article{abotaleb2021estimation:TR,
  title={Estimation of fish production in India using ARIMA, Holt's Linear, BATS and TBATS models},
  author={Mishra, Pradeep and Ray, Soumik and Abdullah, Mohammad Ghazi Al Khatib and Abotaleb, M. and Tiwari, Shiwani and Badr, Amr and Balloo, Ritisha},
  journal={Indian Journal of Ecology},
  volume={48},
  number={5},
  pages={1254--1261},
  year={2021}
}
@article{phumchusri2020hotel:TR,
  title={Hotel daily demand forecasting for high-frequency and complex seasonality data: a case study in Thailand},
  author={Phumchusri, Naragain and Ungtrakul, Phoom},
  journal={Journal of Revenue and Pricing Management},
  volume={19},
  pages={8--25},
  year={2020},
  publisher={Springer}
}

@article{Abotaleb2020:TR,
	author    = {Tatiana, Makarovskikh and
	Mostafa, Abotaleb},
	title     = {Automatic Selection of ARIMA model parameters to forecast COVID-19 Infection and Death Cases},
	journal   = {Vestnik SUSU. Series: Computational Mathematics and Informatics},
	volume    = {10},
	number    = {2},
	pages     = {20--37},
	year      = {2021},
	url		  = {https://doi.org/10.14529/cmse210202},
	doi       = {10.14529/cmse210202},
	language  = {russian}
}	
@article{BATS2010:TR,
  title={Forecasting time series with complex seasonal patterns using exponential smoothing},
  author={De Livera, Alysha M and Hyndman, Rob J and Snyder, Ralph D},
  journal={Journal of the American statistical association},
  volume={106},
  number={496},
  pages={1513--1527},
  year={2011},
  publisher={Taylor \& Francis}
}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@book{Aivazyan2001:TR,
	author    = {S. A. Aivazyan},
	title     = {Applied Statistics. The basics of econometrics. Vol. 2},
	publisher = {Yunity-Dana},
	address   = {Moscow},
	year      = {2001},
	pages	  = {432},
	language  = {russian}
}
@book{Lukashin2003:TR,
	author    = {Yu. P. Lukashin},
	title     = {Adaptive methods of time series short time forecasting},
	publisher = {Finance and Statistics},
	address   = {Moscow},
	year      = {2003},
	pages	  = {416},
	language  = {russian}
}
@article{Winters1960:TR,
  title={Forecasting sales by exponentially weighted moving averages},
  author={Winters, P. R.},
  journal={Management Science},
  volume={6},
  number={3},
  year={1960}
}
@article{DEARAUJOMORAIS2022109315:TR,
title = {Forecasting daily Covid-19 cases in the world with a hybrid ARIMA and neural network model},
journal = {Applied Soft Computing},
volume = {126},
pages = {109315},
year = {2022},
issn = {1568-4946},
doi = {https://doi.org/10.1016/j.asoc.2022.109315},
url = {https://www.sciencedirect.com/science/article/pii/S1568494622004938},
author = {Lucas Rabelo {de Araújo Morais} and Gecynalda Soares {da Silva Gomes}}
}
@InProceedings{AbotalebSTAT2023:TR,
author="Abotaleb, Mostafa
and Makarovskikh, Tatiana",
editor="Valenzuela, Olga
and Rojas, Fernando
and Herrera, Luis Javier
and Pomares, H{\'e}ctor
and Rojas, Ignacio",
title="Development of Algorithm for Forecasting System Software",
booktitle="Theory and Applications of Time Series Analysis and Forecasting",
year="2023",
publisher="Springer International Publishing",
address="Cham",
pages="213--225"
}