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An Empirical Regression Approach to Estimating Blood Pressure Components

Author

Listed:
  • Badmus NI
  • Amusa SO
  • Akinsanya T
  • Okorafor U

    (Department of Statistics, Yaba College of Technology, Nigeria)

Abstract

In this paper, a log-linear regression model called log-beta modified weighted Wei bull regression model is constructed from Beta modified weighted Wei bull distribution through transformation (method of parameterized). The statistical properties including; moments, generating function, skewness and kurtosis were derived for the proposed model. The performance of the proposed model was determined using blood pressure components data and the maximum likelihood estimate of the model parameters was investigated by considering blood pressure components. The empirical results show that the proposed regression model provides better fit and is very useful to the analysis of real data.

Suggested Citation

  • Badmus NI & Amusa SO & Akinsanya T & Okorafor U, 2018. "An Empirical Regression Approach to Estimating Blood Pressure Components," International Journal of Cell Science & Molecular Biology, Juniper Publishers Inc., vol. 4(4), pages 75-80, May.
    • Handle: RePEc:adp:ijcsmb:v:4:y:2018:i:4:p:75-80
    DOI: 10.19080/IJCSMB.2018.03.555643
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    References listed on IDEAS

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    1. Edwin Ortega & Gauss Cordeiro & Michael Kattan, 2013. "The log-beta Weibull regression model with application to predict recurrence of prostate cancer," Statistical Papers, Springer, vol. 54(1), pages 113-132, February.
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