Application of Bivariate Conditional Rayleigh Distribution in Cardiovascular (Blood Pressure and Heart Rate) Data Examination
The objective of this paper is to apply bivariate conditional Rayleigh distribution in cardiovascular (blood pressure and heart rate) data examination, where the conditional dependence of the two variables is suspected. The goodness–of–fit of the model was tested using various standard methods, result revealed model adequacy for blood pressure given heart rate and heart rate given blood pressure. This suggests that the proposed model is compatible with the data and efficient. Thus, the proposed model is recommended when there is a need to account for a conditional structure characterized by underlining uncertainties in a bivariate variable.
Authors
- O.P. Otaru
- N. P. Ogbonda
Publication Details
- Journal
- Journal of applied science and environmental management
- Published
- 2025-06-02
- DOI
- https://doi.org/10.4314/jasem.v29i5.14
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00