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.
Published in | International Journal of Applied Mathematics and Theoretical Physics (Volume 3, Issue 4) |
DOI | 10.11648/j.ijamtp.20170304.13 |
Page(s) | 92-96 |
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), 2017. Published by Science Publishing Group |
Change Point, Cumsum
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APA Style
N. P. Dibal, M. Mustapha, Adegoke T. M., A. M. Yahaya. (2017). 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, 3(4), 92-96. https://doi.org/10.11648/j.ijamtp.20170304.13
ACS Style
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. Int. J. Appl. Math. Theor. Phys. 2017, 3(4), 92-96. doi: 10.11648/j.ijamtp.20170304.13
AMA Style
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. Int J Appl Math Theor Phys. 2017;3(4):92-96. doi: 10.11648/j.ijamtp.20170304.13
@article{10.11648/j.ijamtp.20170304.13, author = {N. P. Dibal and M. Mustapha and Adegoke T. M. and A. M. Yahaya}, title = {Statistical Change Point Analysis in Air Temperature and Rainfall Time Series for Cocoa Research Institute of Nigeria, Ibadan, Oyo State, Nigeria}, journal = {International Journal of Applied Mathematics and Theoretical Physics}, volume = {3}, number = {4}, pages = {92-96}, doi = {10.11648/j.ijamtp.20170304.13}, url = {https://doi.org/10.11648/j.ijamtp.20170304.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijamtp.20170304.13}, 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.}, year = {2017} }
TY - JOUR T1 - Statistical Change Point Analysis in Air Temperature and Rainfall Time Series for Cocoa Research Institute of Nigeria, Ibadan, Oyo State, Nigeria AU - N. P. Dibal AU - M. Mustapha AU - Adegoke T. M. AU - A. M. Yahaya Y1 - 2017/12/13 PY - 2017 N1 - https://doi.org/10.11648/j.ijamtp.20170304.13 DO - 10.11648/j.ijamtp.20170304.13 T2 - International Journal of Applied Mathematics and Theoretical Physics JF - International Journal of Applied Mathematics and Theoretical Physics JO - International Journal of Applied Mathematics and Theoretical Physics SP - 92 EP - 96 PB - Science Publishing Group SN - 2575-5927 UR - https://doi.org/10.11648/j.ijamtp.20170304.13 AB - 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. VL - 3 IS - 4 ER -