Development of a first order integrated moving average model corrupted with a Markov modulated convex combination of autoregressive moving average errors

With a view to providing a tool to accurately model time series processes which may be corrupted with errors such as measurement, round-off and data aggregation, this study developed an integrated moving average (IMA) model with a transition matrix for the errors resulting in a convex combination of...

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Bibliographic Details
Main Authors: S. A. Komolafe, T. O. Obilade, I. O. Ayodeji, A. R. Babalola
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Statistical Theory and Related Fields
Subjects:
Online Access:http://dx.doi.org/10.1080/24754269.2019.1598833