In the last few decades, crude oil has claimed the topmost position in Nigerian export list, constituting a very fundamental change in the structure of Nigerian international trade. In this study, secondary data on monthly crude oil export to the United States was obtained from the Energy Information Administration (EIA) database. Using the Box-Jenkins (ARIMA) methodology, the results showed that Seasonal ARIMA (0, 1, 1) (1, 0, 1)12 model had the least information criteria after the data was Square-Root transformed and non-seasonally first differenced in order to achieve series stationarity. The diagnostic tests on the selected model residuals revealed the residuals are normally distributed uncorrelated random shocks.
| Published in | Science Journal of Applied Mathematics and Statistics (Volume 5, Issue 5) |
| DOI | 10.11648/j.sjams.20170505.12 |
| Page(s) | 174-180 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Transformation, SARIMA, Unit Root, Crude Oil Export, ARCH-LM
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APA Style
Obinna Adubisi, Titus Terkaa Mom, Chidi Emmanuel Adubisi, Phillip Luka. (2017). Predictive Model with Square-Root Variance Stabilizing Transformation for Nigeria Crude Oil Export to America. Science Journal of Applied Mathematics and Statistics, 5(5), 174-180. https://doi.org/10.11648/j.sjams.20170505.12
ACS Style
Obinna Adubisi; Titus Terkaa Mom; Chidi Emmanuel Adubisi; Phillip Luka. Predictive Model with Square-Root Variance Stabilizing Transformation for Nigeria Crude Oil Export to America. Sci. J. Appl. Math. Stat. 2017, 5(5), 174-180. doi: 10.11648/j.sjams.20170505.12
AMA Style
Obinna Adubisi, Titus Terkaa Mom, Chidi Emmanuel Adubisi, Phillip Luka. Predictive Model with Square-Root Variance Stabilizing Transformation for Nigeria Crude Oil Export to America. Sci J Appl Math Stat. 2017;5(5):174-180. doi: 10.11648/j.sjams.20170505.12
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Download@article{10.11648/j.sjams.20170505.12,
author = {Obinna Adubisi and Titus Terkaa Mom and Chidi Emmanuel Adubisi and Phillip Luka},
title = {Predictive Model with Square-Root Variance Stabilizing Transformation for Nigeria Crude Oil Export to America},
journal = {Science Journal of Applied Mathematics and Statistics},
volume = {5},
number = {5},
pages = {174-180},
doi = {10.11648/j.sjams.20170505.12},
url = {https://doi.org/10.11648/j.sjams.20170505.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20170505.12},
abstract = {In the last few decades, crude oil has claimed the topmost position in Nigerian export list, constituting a very fundamental change in the structure of Nigerian international trade. In this study, secondary data on monthly crude oil export to the United States was obtained from the Energy Information Administration (EIA) database. Using the Box-Jenkins (ARIMA) methodology, the results showed that Seasonal ARIMA (0, 1, 1) (1, 0, 1)12 model had the least information criteria after the data was Square-Root transformed and non-seasonally first differenced in order to achieve series stationarity. The diagnostic tests on the selected model residuals revealed the residuals are normally distributed uncorrelated random shocks.},
year = {2017}
}
TY - JOUR T1 - Predictive Model with Square-Root Variance Stabilizing Transformation for Nigeria Crude Oil Export to America AU - Obinna Adubisi AU - Titus Terkaa Mom AU - Chidi Emmanuel Adubisi AU - Phillip Luka Y1 - 2017/11/05 PY - 2017 N1 - https://doi.org/10.11648/j.sjams.20170505.12 DO - 10.11648/j.sjams.20170505.12 T2 - Science Journal of Applied Mathematics and Statistics JF - Science Journal of Applied Mathematics and Statistics JO - Science Journal of Applied Mathematics and Statistics SP - 174 EP - 180 PB - Science Publishing Group SN - 2376-9513 UR - https://doi.org/10.11648/j.sjams.20170505.12 AB - In the last few decades, crude oil has claimed the topmost position in Nigerian export list, constituting a very fundamental change in the structure of Nigerian international trade. In this study, secondary data on monthly crude oil export to the United States was obtained from the Energy Information Administration (EIA) database. Using the Box-Jenkins (ARIMA) methodology, the results showed that Seasonal ARIMA (0, 1, 1) (1, 0, 1)12 model had the least information criteria after the data was Square-Root transformed and non-seasonally first differenced in order to achieve series stationarity. The diagnostic tests on the selected model residuals revealed the residuals are normally distributed uncorrelated random shocks. VL - 5 IS - 5 ER -
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