Simulation-based Analysis of Degradation Data: Implementation of a Multilevel Approach

Authors

Romana Shehla, Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh-202002, IndiaFollow
Athar Ali Khan

Author Country (or Countries)

India

Abstract

Data often arrive with hierarchical structure and multilevel regression modeling is the most popular approach to handle such data. This paper demonstrates how multilevel model can be analyzed in Bayesian framework, with reference to a practical degradation data problem. Assuming a varying-intercept, varying-slope model for the data, the exact as well as the approximate inference procedures have been developed using R and JAGS and their performance have been compared. Further, the concept of Bayesian p-values have been discussed to assess the adequacy of the proposed model.

Suggested Reviewers

N/A

Recommended Citation

Shehla, Romana and Ali Khan, Athar (2015) "Simulation-based Analysis of Degradation Data: Implementation of a Multilevel Approach," Journal of Statistics Applications & Probability: Vol. 4: Iss. 1, Article 8.
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol4/iss1/8