On the Estimation of k-Regimes Switching of Mixture Autoregressive Model via Weibull Distributional Random Noise

This paper describes regime-switching, full range of shape changing distributions (multimodalities), and cycles traits that were characterized by time-varying series via Weibull distributional noise for time series with fluctuations and long-memory. We developed and established a Weibull Mixture A...

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Main Authors: Rasaki, Olawale Olanrewaju, Anthony, Gichuhi Waititu, Nafiu, Lukman Abiodun
Format: Article
Published: International Journal of Probability and Statistics 2021
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Online Access:http://hdl.handle.net/20.500.12493/487
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author Rasaki, Olawale Olanrewaju
Anthony, Gichuhi Waititu
Nafiu, Lukman Abiodun
author_facet Rasaki, Olawale Olanrewaju
Anthony, Gichuhi Waititu
Nafiu, Lukman Abiodun
author_sort Rasaki, Olawale Olanrewaju
collection KAB-DR
description This paper describes regime-switching, full range of shape changing distributions (multimodalities), and cycles traits that were characterized by time-varying series via Weibull distributional noise for time series with fluctuations and long-memory. We developed and established a Weibull Mixture Autoregressive model of k-regimes via WMAR(k; p1, p2, , pk ) with Expectation-Maximization (EM) algorithm adopted as parameter estimation technique. The ergodic process for the WMAR(k; p1, p2, , pk ) model was ascertained via the maximized derivation of the absolute value of the subtraction of its likelihood from its expected likelihood.
format Article
id oai:idr.kab.ac.ug:20.500.12493-487
institution KAB-DR
publishDate 2021
publisher International Journal of Probability and Statistics
record_format dspace
spelling oai:idr.kab.ac.ug:20.500.12493-4872024-01-17T04:44:27Z On the Estimation of k-Regimes Switching of Mixture Autoregressive Model via Weibull Distributional Random Noise Rasaki, Olawale Olanrewaju Anthony, Gichuhi Waititu Nafiu, Lukman Abiodun Expectation-Maximization, k-regimes, Mixture Autoregressive model, Regime-switching, Weibull Distribution This paper describes regime-switching, full range of shape changing distributions (multimodalities), and cycles traits that were characterized by time-varying series via Weibull distributional noise for time series with fluctuations and long-memory. We developed and established a Weibull Mixture Autoregressive model of k-regimes via WMAR(k; p1, p2, , pk ) with Expectation-Maximization (EM) algorithm adopted as parameter estimation technique. The ergodic process for the WMAR(k; p1, p2, , pk ) model was ascertained via the maximized derivation of the absolute value of the subtraction of its likelihood from its expected likelihood. Kabale University 2021-05-13T10:38:11Z 2021-05-13T10:38:11Z 2021 Article http://hdl.handle.net/20.500.12493/487 application/pdf International Journal of Probability and Statistics
spellingShingle Expectation-Maximization, k-regimes, Mixture Autoregressive model, Regime-switching, Weibull Distribution
Rasaki, Olawale Olanrewaju
Anthony, Gichuhi Waititu
Nafiu, Lukman Abiodun
On the Estimation of k-Regimes Switching of Mixture Autoregressive Model via Weibull Distributional Random Noise
title On the Estimation of k-Regimes Switching of Mixture Autoregressive Model via Weibull Distributional Random Noise
title_full On the Estimation of k-Regimes Switching of Mixture Autoregressive Model via Weibull Distributional Random Noise
title_fullStr On the Estimation of k-Regimes Switching of Mixture Autoregressive Model via Weibull Distributional Random Noise
title_full_unstemmed On the Estimation of k-Regimes Switching of Mixture Autoregressive Model via Weibull Distributional Random Noise
title_short On the Estimation of k-Regimes Switching of Mixture Autoregressive Model via Weibull Distributional Random Noise
title_sort on the estimation of k regimes switching of mixture autoregressive model via weibull distributional random noise
topic Expectation-Maximization, k-regimes, Mixture Autoregressive model, Regime-switching, Weibull Distribution
url http://hdl.handle.net/20.500.12493/487
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AT anthonygichuhiwaititu ontheestimationofkregimesswitchingofmixtureautoregressivemodelviaweibulldistributionalrandomnoise
AT nafiulukmanabiodun ontheestimationofkregimesswitchingofmixtureautoregressivemodelviaweibulldistributionalrandomnoise