Bayesian Approach to Analyzing Incomplete Data

Authors

• Amouri Hadi Kazem, Department of Statistics, College of Administration & Economics, University of Baghdad, Republic of Iraq
• Qutaiba N. Nayef Al-Qazaz, Department of Statistics, College of Administration & Economics, University of Baghdad, Republic of Iraq

Abstract

In this paper we will explain ,how use Bayesian procedure in analysis multiple linear regression model with missing data in variables X's as the new method suggest , and explain some of missing Patterns under missing mechanism , missing complete at random MCAR and compare Bayesian estimator with complete case estimator by use simulation procedure .

DOI

10.33095/jeas.v14i49.1381

Subject Area

Statistical

First Page

251

Last Page

263

Recommended Citation

Kazem, A. H., & Al-Qazaz, Q. N. (2008). Bayesian Approach to Analyzing Incomplete Data. Journal of Economics and Administrative Sciences, 14(49), 251-263. https://doi.org/10.33095/jeas.v14i49.1381