Volume 3, Issue 4, October 2017, Page: 92-96
Statistical Change Point Analysis in Air Temperature and Rainfall Time Series for Cocoa Research Institute of Nigeria, Ibadan, Oyo State, Nigeria
N. P. Dibal, Department of Mathematics and Statistics, University of Maiduguri, Maiduguri, Nigeria
M. Mustapha, Department of Mathematics and Statistics, University of Maiduguri, Maiduguri, Nigeria
Adegoke T. M., Department of Statistics, University of Ilorin, Ilorin, Nigeria
A. M. Yahaya, Department of Mathematics and Statistics, University of Maiduguri, Maiduguri, Nigeria
Received: Aug. 27, 2016;       Accepted: Oct. 20, 2016;       Published: Dec. 13, 2017
DOI: 10.11648/j.ijamtp.20170304.13      View  1814      Downloads  63
Abstract
In this work, a cumsum approach is used to detect change-point in mean of an independent normal random variables. A multiple shift in the mean level was considered and show how such a problem can be straightforwardly addressed through the cumsum approach. Data gotten from Cocoa Research Institute of Nigeria were used and from the result of the analysis, a single change point was detected in the amount of rainfall and a multiple change point was detected in the amount of minimum temperature and no change point was detected in the amount of maximum temperature.
Keywords
Change Point, Cumsum
To cite this article
N. P. Dibal, M. Mustapha, Adegoke T. M., A. M. Yahaya, Statistical Change Point Analysis in Air Temperature and Rainfall Time Series for Cocoa Research Institute of Nigeria, Ibadan, Oyo State, Nigeria, International Journal of Applied Mathematics and Theoretical Physics. Vol. 3, No. 4, 2017, pp. 92-96. doi: 10.11648/j.ijamtp.20170304.13
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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