Modelling distribution of rainfall in South West Nigeria is examined. Quarterly rainfall distribution data of Ibadan as a case study were collected for a period of 43 years (1971-2013) from Nigeria Meteorological Agency (NMA) quoted in Central Bank of Nigeria (CBN) bulletin. The time series analysis was used to model and forecast the quarterly rainfall. The time plot shows there is a seasonal cycles in the series, we used Akaike Information Criterion to detect auto-regressive (AR), moving average (MA) and auto-regressive moving average (ARMA) models of the best order. It was shown that AR(4), MA(4) and ARMA(4,4) have the least Akaike Information Criterion (AIC). These models were then used to forecast for the quarterly rainfall for five years.
Published in | Science Journal of Applied Mathematics and Statistics (Volume 4, Issue 2) |
DOI | 10.11648/j.sjams.20160402.16 |
Page(s) | 52-58 |
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), 2016. Published by Science Publishing Group |
Akaike Information Criterion, AR Model, MA Model, ARMA Model, Forecasting, Rainfall
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APA Style
Iyabode Favour Oyenuga, Benjamin Agboola Oyejola, Johnson Taiwo Olajide. (2016). Statistical Modeling of Quarterly Record of Rainfall Distribution in South West Nigeria. Science Journal of Applied Mathematics and Statistics, 4(2), 52-58. https://doi.org/10.11648/j.sjams.20160402.16
ACS Style
Iyabode Favour Oyenuga; Benjamin Agboola Oyejola; Johnson Taiwo Olajide. Statistical Modeling of Quarterly Record of Rainfall Distribution in South West Nigeria. Sci. J. Appl. Math. Stat. 2016, 4(2), 52-58. doi: 10.11648/j.sjams.20160402.16
AMA Style
Iyabode Favour Oyenuga, Benjamin Agboola Oyejola, Johnson Taiwo Olajide. Statistical Modeling of Quarterly Record of Rainfall Distribution in South West Nigeria. Sci J Appl Math Stat. 2016;4(2):52-58. doi: 10.11648/j.sjams.20160402.16
@article{10.11648/j.sjams.20160402.16, author = {Iyabode Favour Oyenuga and Benjamin Agboola Oyejola and Johnson Taiwo Olajide}, title = {Statistical Modeling of Quarterly Record of Rainfall Distribution in South West Nigeria}, journal = {Science Journal of Applied Mathematics and Statistics}, volume = {4}, number = {2}, pages = {52-58}, doi = {10.11648/j.sjams.20160402.16}, url = {https://doi.org/10.11648/j.sjams.20160402.16}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20160402.16}, abstract = {Modelling distribution of rainfall in South West Nigeria is examined. Quarterly rainfall distribution data of Ibadan as a case study were collected for a period of 43 years (1971-2013) from Nigeria Meteorological Agency (NMA) quoted in Central Bank of Nigeria (CBN) bulletin. The time series analysis was used to model and forecast the quarterly rainfall. The time plot shows there is a seasonal cycles in the series, we used Akaike Information Criterion to detect auto-regressive (AR), moving average (MA) and auto-regressive moving average (ARMA) models of the best order. It was shown that AR(4), MA(4) and ARMA(4,4) have the least Akaike Information Criterion (AIC). These models were then used to forecast for the quarterly rainfall for five years.}, year = {2016} }
TY - JOUR T1 - Statistical Modeling of Quarterly Record of Rainfall Distribution in South West Nigeria AU - Iyabode Favour Oyenuga AU - Benjamin Agboola Oyejola AU - Johnson Taiwo Olajide Y1 - 2016/03/29 PY - 2016 N1 - https://doi.org/10.11648/j.sjams.20160402.16 DO - 10.11648/j.sjams.20160402.16 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 - 52 EP - 58 PB - Science Publishing Group SN - 2376-9513 UR - https://doi.org/10.11648/j.sjams.20160402.16 AB - Modelling distribution of rainfall in South West Nigeria is examined. Quarterly rainfall distribution data of Ibadan as a case study were collected for a period of 43 years (1971-2013) from Nigeria Meteorological Agency (NMA) quoted in Central Bank of Nigeria (CBN) bulletin. The time series analysis was used to model and forecast the quarterly rainfall. The time plot shows there is a seasonal cycles in the series, we used Akaike Information Criterion to detect auto-regressive (AR), moving average (MA) and auto-regressive moving average (ARMA) models of the best order. It was shown that AR(4), MA(4) and ARMA(4,4) have the least Akaike Information Criterion (AIC). These models were then used to forecast for the quarterly rainfall for five years. VL - 4 IS - 2 ER -