Bayesian Sequential Estimation of Proportion of Orthopedic Surgery of Type 2 Diabetic Patients Among Different Age Groups –A Case Study of Government Medical College, Jammu-India

  • Roohi Gupta University of Jammu
  • Priyanka Anand University of Jammu
  • Rahul Gupta University of Jammu
Keywords: Bayesian, Empirical Bayes, Beta-Binomial conjugate model, Estimation of proportion

Abstract

A study to determine the proportion of diabetic cases handled by the hospitals in Jammu regarding orthopedic surgeries, especially among different age group, by employing a Bayesian model called Beta-binomial conjugate model using Bayesian sequential estimation method. From the hospital record of Government Medical College(GMC), Jammu. Data was collected and collated over a period of 3 years from 2014-2016 in terms of 4 quarters (Jan-March, April-June, July-Sep and OctDec). The study also compares the computed sample and Empirical Bayes estimates over the three year period and also the variances of the computed estimates and it has been strongly advocated that Empirical Bayes estimators are better estimators on the basis of efficiency and consistency and the proposed method can be employed successfully in any suitable location globally

Author Biographies

Roohi Gupta, University of Jammu

Department of Statistics, University of Jammu, Jammu

Priyanka Anand, University of Jammu

Department of Statistics, University of Jammu

Rahul Gupta, University of Jammu

Department of Statistics, University of Jammu

Published
2017-10-31
How to Cite
Gupta, R., Anand, P., & Gupta, R. (2017, October 31). Bayesian Sequential Estimation of Proportion of Orthopedic Surgery of Type 2 Diabetic Patients Among Different Age Groups –A Case Study of Government Medical College, Jammu-India. EPH - International Journal of Mathematics and Statistics (ISSN: 2208-2212), 3(10), 01-08. Retrieved from https://ephjournal.com/index.php/ms/article/view/23