Oil, which has been also called 'black gold'as it is most precious commodity impacts the
world economy, is going through unprecedented times. The demand for crude oil has fallen …

A bstract The study focuses on the contrapuntal effect of oil resource abundance in Nigeria
and Iran between 1970 and 2016. It is driven by the fact that oil resource abundance has an …

Time series prediction is one of the main areas of statistics and machine learning. In 2018
the two new algorithms higher order hidden Markov model and temporal convolutional …

Jute holds significant importance as a cash crop in Bangladesh and was once renowned as
the country's" golden fiber." Before embarking on a comprehensive strategy, it is crucial to …

This paper study and modeless a number of road accidental injuries in the region of Skikda
(northeast Algeria) according to Box-Jenkins method using EViews software using series …

Examining the price relationships of Brent Crude with 78 global commodities, our study
shows that the spot price of a certain commodity, New York Harbor No. 2 Heating Oil Spot …

This study presents the performance of wavelet multiple linear regression (WMLR)
technique in daily crude oil forecasting. WMLR model was developed by integrating the …

This study considers the analysis of dengue in Baguio City through correlation, regression,
and univariate time-series analysis. The former gives a relationship between specific …

Statistical Study on Modeling and Forecasting of Jute Production in West Bengal, India Page 1
Int.J.Curr.Microbiol.App.Sci (2019) 8(7): 1719-1730 1719 Original Research Article …

In the present dissertation, the daily crude oil data from US, Energy Information
Administration from 2000-2019 is explored to test the forecasting accuracy by drawing the …