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Predictive Model with Square-Root Variance Stabilizing Transformation for Nigeria Crude Oil Export to America

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. T…

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Source	OpenAlex research
Collection	International records
Kind	Document
Publisher	Science Journal of Applied Mathematics and Statistics
Date	2017-01-01
Type	article
Details	openalex authorships.countries:NG,primary topic.subfield.id:3320\|3321\|3308\|1202\|3303\|3312\|2002\|2000\|2003 + local /\bnige
Found at	https://doi.org/10.11648/j.sjams.20170505.12
Archived copy	Look it up in the Wayback Machine
Record ID	`openalex:W2767365476`

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Predictive Model with Square-Root Variance Stabilizing Transformation for Nigeria Crude Oil Export to America. OpenAlex research, 2017. Vero Archive, record openalex:W2767365476.