Statistical Analysis of Road Traffic Accidents Fatality Using Poisson and Negative Binomial Regression (Case Study of Osun State Frsc)

Authors

  • O. B. Aladeniyi Department of Statistics, Federal University of Technology
  • O. K. Bodunwa Department of Statistics, Federal University of Technology
  • A. S. Adesina Department of Statistics, Federal University of Technology

Keywords:

Poisson Regression, Negative Binomial Regression, Road Traffic Accidents, Federal Road Safety Commission

Abstract

This study focuses on investigating the effectiveness of water melon rind in phenol removal from aqueous solution. The effects of various parameters (pH, initial phenol concentration, biosorbent dosage and contact time) on phenol adsorption were investigated. The pH of 2, initial phenol concentration of 40 mg/L, biosorbent dosage of 0.6 g and contact time of 6 h also deduced to be the optimum conditions for the adsorption process. The maximum phenol removal under optimized conditions was 85%. The sorption data fitted to the Freundlich isotherm with a regression coefficient of 0.9824. The kinetics was best described by the intraparticle diffusion model and Elovich equation with regression coefficients of 1 and 0.8461 respectively showing that the reaction is chemisorption on a heterogeneous surface and the intraparticle diffusion rate only is the rate determining step. The study revealed that water melon rind have a potential of removing phenol from industrial wastewaters.

Downloads

Download data is not yet available.

Downloads

Published

2022-12-06

How to Cite

Aladeniyi, O. B., Bodunwa, O. K., & Adesina, A. S. (2022). Statistical Analysis of Road Traffic Accidents Fatality Using Poisson and Negative Binomial Regression (Case Study of Osun State Frsc). Zimbabwe Journal of Science and Technology, 14(1), 100–110. Retrieved from https://journals.nust.ac.zw/index.php/zjst/article/view/151