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Applied Mathematics
Submission
Applied Mathematics
ISSN Print:
2152-7385
ISSN Online:
2152-7393
www.scirp.org/journal/am
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am@scirp.org
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"
Selection of Heteroscedastic Models: A Time Series Forecasting Approach
"
written by
Imoh Udo Moffat, Emmanuel Alphonsus Akpan
,
published by
Applied Mathematics
,
Vol.10 No.5, 2019
has been cited by the following article(s):
Google Scholar
CrossRef
[1]
The improvement of the intelligent decision support system for forecasting non-linear non-stationary processes
Zharova, V Diakon… - Technology audit and …
,
2023
[2]
COMPARISON OF MACHINE LEARNING ALGORITHMS FOR PREDICTING DIAMOND PRICES BASED ON EXPLORATORY DATA ANALYSIS
International Journal of Engineering Applied Sciences and Technology
,
2022
[3]
Robustifying Forecast Performance Through Hybridized Arima-Garch-Type Modeling in a Discrete-Time Stochastic Series
2020
[4]
REAL ESTATE FORECASTING MODEL FOR RESIDENTIAL MARKET IN NIGERIA
2020
[5]
Modeling Heteroscedasticity in the Presence of Serial Correlations in Discrete-time Stochastic Series: A GARCH-in-Mean Approach
2019
[6]
White Noise Analysis: A Measure of Time Series Model Adequacy
2019
[1]
Density Based Regularization Model for Effective Forecasting of Stage Transition in Chronic Kidney Disease
Wireless Personal Communications
,
2024
DOI:
10.1007/s11277-024-11307-9
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