Comparison of Selected Single-Imputation Methods for Missing Data in the Bivariate Normal Probability Density Function

Tahani Mahdi Abbas, Department of Statistics, College of Administration & Economics, University of Baghdad, Republic of Iraq
Mohammed Jasim Mohammed, 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 suggest new method to estimate the missing data in bivariate normal distribution and compare it with Single Imputation method (Unconditional mean and Conditional mean) by using simulation.

DOI

10.33095/jeas.v16i58.1489

Subject Area

Statistical

First Page

167

Last Page

180

Rights

http://creativecommons.org/licenses/by-nc-nd/4.0

Recommended Citation

Abbas, T. M., Mohammed, M. J., & Al-Qazaz, Q. N. (2010). Comparison of Selected Single-Imputation Methods for Missing Data in the Bivariate Normal Probability Density Function. Journal of Economics and Administrative Sciences, 16(58), 167-180. https://doi.org/10.33095/jeas.v16i58.1489

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