A New Statistical Technique to Enhance MCGINAR (1) Process Estimates under Symmetric and Asymmetric Data: Fuzzy Time Series Markov Chain and Its …
MH El-Menshawy, AEMAM Teamah, MS Eliwa… - Symmetry, 2023 - mdpi.com
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 …
substantial demand for the description of process stability having discrete marginal …
Effect of fuzzy time series on smoothing estimation of the INAR (1) process
M El-Morshedy, MH El-Menshawy, MMA Almazah… - Axioms, 2022 - mdpi.com
In this paper, the effect of fuzzy time series on estimates of the spectral, bispectral and
normalized bispectral density functions are studied. This study is conducted for one of the …
normalized bispectral density functions are studied. This study is conducted for one of the …
Enhancing Integer Time Series Model Estimations through Neural Network-Based Fuzzy Time Series Analysis
MH El-Menshawy, MS Eliwa, LA Al-Essa… - Symmetry, 2024 - mdpi.com
This investigation explores the effects of applying fuzzy time series (FTSs) based on neural
network models for estimating a variety of spectral functions in integer time series models …
network models for estimating a variety of spectral functions in integer time series models …
[PDF][PDF] Fuzzy Time Series Inference for Stationary Linear Processes: Features and Algorithms With Simulation
KM Alqahtani, MH El-Menshawy, MS Eliwa… - Appl. Math, 2023 - researchgate.net
The primary objective of this article is to estimate the unknown parameters of stationary
linear processes based on a fuzzy time series approach to observations that follow AR (1) …
linear processes based on a fuzzy time series approach to observations that follow AR (1) …