Bayesian inference & ranking of Pakistan News TV channel using method of paired comparison

Volume 9, Issue 1, February 2024     |     PP. 1-15      |     PDF (420 K)    |     Pub. Date: October 17, 2016
DOI:    2493 Downloads     28266 Views  


Syed Adil Hussain, Lecturer, Department of Statistics, University of Gujrat, Gujrat, Pakistan
Taha Hasan Associate Professor, Department of Statistics, Islamabad Model College for Boys, F-10/4, Islamabad, Pakistan.

This research considers the Bayesian inference & ranking of the domestic News TV channels using method of paired comparisons. Results for analysis are computed in C language and programs’ coding are executed for seven parametric model’s inference. Furthermore, to ensure the appropriateness of the model, the goodness of fit criteria is used as used by Aslam (2002). The model ensures good fit for the news TV channels. The research aims to play a dynamic role in ranking of domestic News TV channels by providing the preferences probabilities which reflects ranking of each of the factors.

Paired comparison method; Bayesian Inference (Posterior Means, Posterior Predictive Probabilities and modem goodness of fit) of Bradley-Terry, Non informative prior; Uniform distribution.

Cite this paper
Syed Adil Hussain, Taha Hasan Associate Professor, Bayesian inference & ranking of Pakistan News TV channel using method of paired comparison , SCIREA Journal of Mathematics. Volume 9, Issue 1, February 2024 | PP. 1-15.


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