A New Statistical Technique to Enhance MCGINAR(1) Process Estimates under Symmetric and Asymmetric Data: Fuzzy Time Series Markov Chain and Its Characteristics

A New Statistical Technique to Enhance MCGINAR(1) Process Estimates under Symmetric and Asymmetric Data: Fuzzy Time Series Markov Chain and Its Characteristics

Several models for time series with integer values have been published as a result of the substantial demand for the description of process stability having discrete marginal distributions. One of these models is the mixed count geometric integer autoregressive of order one (MCGINAR(1)), which is ba...

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Bibliographic Details
Main Authors: Mohammed H. El-Menshawy, Abd El-Moneim A. M. Teamah, Mohamed S. Eliwa, Laila A. Al-Essa, Mahmoud El-Morshedy, Rashad M. EL-Sagheer
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Symmetry
Subjects:
FTSMC
time series
spectrum
bispectrum
normalized bispectrum
one- and two-dimensional lag window
Online Access:https://www.mdpi.com/2073-8994/15/8/1577

Internet

https://www.mdpi.com/2073-8994/15/8/1577

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