International Journal of Agricultural Economics

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Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State

Received: 25 July 2016    Accepted: 05 August 2016    Published: 21 August 2016
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Abstract

Cross Correlation (CC) analysis provide a correlation between two time series. The observations of one series are correlated with the observations of another series at various lags and leads. CC analysis also help in identifying variables which are leading indicators of other variables or how much one variable is predicted to change in relation of the other variable. In this paper we attempt study the relationship between monthly maximum temperature and relative humidity in Bida, Niger state from 1981 to 2012 collected from the NCRI, Baddegi. The results revealed that there is a negative relationship between Temperature and relative humidity in Bida. Also negative relationship is revealed at lag 0, positive lags of 1, 2, 9, 10, 11, 12 and 13 while for negative lags of 1, 2, 3, 10, 11, 12, and 13. We recommended that our work will be helpful to farmers, statisticians and to Agricultural Economist and Econometrician to understand the interrelationship between these variables and to take appropriate action or caution.

DOI 10.11648/j.ijae.20160103.12
Published in International Journal of Agricultural Economics (Volume 1, Issue 3, September 2016)
Page(s) 62-66
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), 2024. Published by Science Publishing Group

Keywords

Cross Correlation (CC), Relationship, Maximum Temperature, Relative Humidity

References
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Author Information
  • Department of Mathematics and Statistics, the Federal Polytechnic, Bida, Nigeria

  • Department of Mathematics and Statistics, the Federal Polytechnic, Bida, Nigeria

Cite This Article
  • APA Style

    Adenomon Monday Osagie, Evans Patience Ogheneofejiro. (2016). Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State. International Journal of Agricultural Economics, 1(3), 62-66. https://doi.org/10.11648/j.ijae.20160103.12

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    ACS Style

    Adenomon Monday Osagie; Evans Patience Ogheneofejiro. Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State. Int. J. Agric. Econ. 2016, 1(3), 62-66. doi: 10.11648/j.ijae.20160103.12

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    AMA Style

    Adenomon Monday Osagie, Evans Patience Ogheneofejiro. Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State. Int J Agric Econ. 2016;1(3):62-66. doi: 10.11648/j.ijae.20160103.12

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  • @article{10.11648/j.ijae.20160103.12,
      author = {Adenomon Monday Osagie and Evans Patience Ogheneofejiro},
      title = {Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State},
      journal = {International Journal of Agricultural Economics},
      volume = {1},
      number = {3},
      pages = {62-66},
      doi = {10.11648/j.ijae.20160103.12},
      url = {https://doi.org/10.11648/j.ijae.20160103.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijae.20160103.12},
      abstract = {Cross Correlation (CC) analysis provide a correlation between two time series. The observations of one series are correlated with the observations of another series at various lags and leads. CC analysis also help in identifying variables which are leading indicators of other variables or how much one variable is predicted to change in relation of the other variable. In this paper we attempt study the relationship between monthly maximum temperature and relative humidity in Bida, Niger state from 1981 to 2012 collected from the NCRI, Baddegi. The results revealed that there is a negative relationship between Temperature and relative humidity in Bida. Also negative relationship is revealed at lag 0, positive lags of 1, 2, 9, 10, 11, 12 and 13 while for negative lags of 1, 2, 3, 10, 11, 12, and 13. We recommended that our work will be helpful to farmers, statisticians and to Agricultural Economist and Econometrician to understand the interrelationship between these variables and to take appropriate action or caution.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State
    AU  - Adenomon Monday Osagie
    AU  - Evans Patience Ogheneofejiro
    Y1  - 2016/08/21
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ijae.20160103.12
    DO  - 10.11648/j.ijae.20160103.12
    T2  - International Journal of Agricultural Economics
    JF  - International Journal of Agricultural Economics
    JO  - International Journal of Agricultural Economics
    SP  - 62
    EP  - 66
    PB  - Science Publishing Group
    SN  - 2575-3843
    UR  - https://doi.org/10.11648/j.ijae.20160103.12
    AB  - Cross Correlation (CC) analysis provide a correlation between two time series. The observations of one series are correlated with the observations of another series at various lags and leads. CC analysis also help in identifying variables which are leading indicators of other variables or how much one variable is predicted to change in relation of the other variable. In this paper we attempt study the relationship between monthly maximum temperature and relative humidity in Bida, Niger state from 1981 to 2012 collected from the NCRI, Baddegi. The results revealed that there is a negative relationship between Temperature and relative humidity in Bida. Also negative relationship is revealed at lag 0, positive lags of 1, 2, 9, 10, 11, 12 and 13 while for negative lags of 1, 2, 3, 10, 11, 12, and 13. We recommended that our work will be helpful to farmers, statisticians and to Agricultural Economist and Econometrician to understand the interrelationship between these variables and to take appropriate action or caution.
    VL  - 1
    IS  - 3
    ER  - 

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