DOI: https://doi.org/10.18517/ijods.3.1.33-44.2022
Pettitt and Bayesian Change Point Detcetions in The Price of Kerosene in The Southwestern Region of Nigeria
Abstract
Kerosene is known to be one of the useful substances in crude oil. It is considered to be a useful household substance. It is a combustible hydrocarbon liquid widely used as fuel in industry and households. Over the years, it has been shown that there is an upward trend in the price of
kerosene which has affected its use negatively. It would be of interest to investigate the change points in the price of kerosene in the six states of the southwestern region of Nigeria between 2015 and 2021. Mann Kendall trend test was used to determine the trends in the data. The Mann
Kendall trend analysis showed a significant upward trend with their p-values less than 0.05 for all the States. Furthermore, Bayesian and Pettitt approaches were employed to detect change points in the price of Kerosene in the six states (Ekiti, Lagos, Ogun, Ondo, Osun, and Oyo) of the
southwestern region of Nigeria. The Pettitt method showed a single shift in each of the States while the Bayesian approach showed multiple shifts in each State. Both methods give the change point with dates while the Bayesian also provides the posterior means for the change points.
kerosene which has affected its use negatively. It would be of interest to investigate the change points in the price of kerosene in the six states of the southwestern region of Nigeria between 2015 and 2021. Mann Kendall trend test was used to determine the trends in the data. The Mann
Kendall trend analysis showed a significant upward trend with their p-values less than 0.05 for all the States. Furthermore, Bayesian and Pettitt approaches were employed to detect change points in the price of Kerosene in the six states (Ekiti, Lagos, Ogun, Ondo, Osun, and Oyo) of the
southwestern region of Nigeria. The Pettitt method showed a single shift in each of the States while the Bayesian approach showed multiple shifts in each State. Both methods give the change point with dates while the Bayesian also provides the posterior means for the change points.
Article Details
How to Cite
[1]
A. A. Adepoju, A. A. Oludunni, and T. P. Ogundunmade, “Pettitt and Bayesian Change Point Detcetions in The Price of Kerosene in The Southwestern Region of Nigeria”, Int. J. Data. Science., vol. 3, no. 1, pp. 33-44, Jun. 2022.
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References
Audu, E.B. (2013). Fuel Wood Consumption and Desertification in Nigeria. International Journal of Science and Technology. Vol. 3, 2013.
Berger, J.O. (1985). Statistical Decisions Theory and Bayesian Analysis. Springer, New York. Danlami, A.H. (2017). An Intensity of Household Kerosene Use in Bauchi State, Nigeria: A Tobit Analysis. Nigerian Jour. of Management Technology & Development, Vol 8(2), 2017.
Maiyoh, G. K., Njoroge, R. W. & Tuei, V. C. (2015) Effects and mechanisms of kerosene use related toxicity, Environmental Toxicology, and Pharmacology,
http://dx.doi.org/10.1016/j.etap.2015.05.010
Oyekale, A. S., Dare, A. M. and Olugbire, O. O. (2012). Assessment of rural households cooking energy choice during kerosene subsidy in Nigeria: A case study of Oluyole Local Government Area of Oyo State. African Journal Of Agricultural Research, Vol.7(39), 5405-5411, 2012.
Pettitt, A. N. (1979). A non-parametric approach to the change-point problem. Applied Statistics, vol. 28, no. 2, pp. 126–135, 1979.
Waheed B., Kazeem O.O. and Adegoke T.M.(2017). Bayesian change-point modeling of Hydrometeorological data in Nigeria. 1ST International Annual Conference Of Nigeria Statistical Society, held at the University of Ibadan.
Berger, J.O. (1985). Statistical Decisions Theory and Bayesian Analysis. Springer, New York. Danlami, A.H. (2017). An Intensity of Household Kerosene Use in Bauchi State, Nigeria: A Tobit Analysis. Nigerian Jour. of Management Technology & Development, Vol 8(2), 2017.
Maiyoh, G. K., Njoroge, R. W. & Tuei, V. C. (2015) Effects and mechanisms of kerosene use related toxicity, Environmental Toxicology, and Pharmacology,
http://dx.doi.org/10.1016/j.etap.2015.05.010
Oyekale, A. S., Dare, A. M. and Olugbire, O. O. (2012). Assessment of rural households cooking energy choice during kerosene subsidy in Nigeria: A case study of Oluyole Local Government Area of Oyo State. African Journal Of Agricultural Research, Vol.7(39), 5405-5411, 2012.
Pettitt, A. N. (1979). A non-parametric approach to the change-point problem. Applied Statistics, vol. 28, no. 2, pp. 126–135, 1979.
Waheed B., Kazeem O.O. and Adegoke T.M.(2017). Bayesian change-point modeling of Hydrometeorological data in Nigeria. 1ST International Annual Conference Of Nigeria Statistical Society, held at the University of Ibadan.