El-Menshawy, M.H.; Teamah, A.E.-M.A.M.; Eliwa, M.S.; Al-Essa, L.A.; El-Morshedy, M.; EL-Sagheer, R.M.
A New Statistical Technique to Enhance MCGINAR(1) Process Estimates under Symmetric and Asymmetric Data: Fuzzy Time Series Markov Chain and Its Characteristics. Symmetry 2023, 15, 1577.
https://doi.org/10.3390/sym15081577
AMA Style
El-Menshawy MH, Teamah AE-MAM, Eliwa MS, Al-Essa LA, El-Morshedy M, EL-Sagheer RM.
A New Statistical Technique to Enhance MCGINAR(1) Process Estimates under Symmetric and Asymmetric Data: Fuzzy Time Series Markov Chain and Its Characteristics. Symmetry. 2023; 15(8):1577.
https://doi.org/10.3390/sym15081577
Chicago/Turabian Style
El-Menshawy, Mohammed H., Abd El-Moneim A. M. Teamah, Mohamed S. Eliwa, Laila A. Al-Essa, Mahmoud El-Morshedy, and Rashad M. EL-Sagheer.
2023. "A New Statistical Technique to Enhance MCGINAR(1) Process Estimates under Symmetric and Asymmetric Data: Fuzzy Time Series Markov Chain and Its Characteristics" Symmetry 15, no. 8: 1577.
https://doi.org/10.3390/sym15081577
APA Style
El-Menshawy, M. H., Teamah, A. E.-M. A. M., Eliwa, M. S., Al-Essa, L. A., El-Morshedy, M., & EL-Sagheer, R. M.
(2023). A New Statistical Technique to Enhance MCGINAR(1) Process Estimates under Symmetric and Asymmetric Data: Fuzzy Time Series Markov Chain and Its Characteristics. Symmetry, 15(8), 1577.
https://doi.org/10.3390/sym15081577
