1. R.J. Karunamuni and J. Wu (2011). One-step minimum Hellinger distance estimation. Computational Statistics and Data Analysis, 55, 3148-3164.

2. J. Wu, R.J. Karunamuni and B. Zhang (2010). Minimum Hellinger distance estimation in a two-sample semiparametric model. Journal of Multivariate Analysis, 101, 1102-1122.

3. S. Zhang and R.J. Karunamuni (2010). Boundary performance of the beta-kernel estimator. Journal of Nonparametric Statistics, 22, 81-104.

4. J. Wu and R.J. Karunamuni (2009). On minimum Hellinger distance estimation. The Canadian Journal of Statistics, 37, 514-533.

5. R.J. Karunamuni and J. Wu (2009). Minimum Hellinger distance estimation in a nonparametric mixture model. Journal of Statistical Planning and Inference, 139, 1118-1133.

6. R.J. Karunamuni, J. Li and J. Wu (2009). Robust empirical Bayes tests for continuous distributions. Journal of Statistical Planning and Inference, 140, 268-282.

7. S. Zhang and R.J. Karunamuni (2009). Deconvolution boundary kernel method in nonparametric density estimation. Journal of Statistical Planning and Inference, 139, 2269-2283.

8. R.J. Karunamuni and S. Zhang (2008). Some improvements on a boundary corrected kernel density estimator. Statistics and Probability Letters, 78, 499-507.

9. R.J. Karunamuni, J. Wu and T. Liang (2008). Robust empirical Bayes tests for discrete distributions. J. Nonparametric Statistics, 20, 101-113.

10. L.-C. Hwang and R.J. Karunamuni (2008). Asymptotically pointwise optimal allocation rules in Bayes sequential estimation. Statistics and Probability Letters, 78, 2490-2495.

11. J. T. Ding and R. J. Karunamuni (2008). Modeling information sharing to improve just-in-time purchasing vendor evaluation. International Journal of Manufacturing Technology and Management 13, 30-54.

12. R.J. Karunamuni, T.N. Sriram and J. Wu (2006). Rates of Convergence of an adaptive kernel density estimator for finite mixture models. Statistics and Probability Letters, 76, 221-230.

13. R.J. Karunamuni, T.N. Sriram and J. Wu (2006). Asymptotic normalilty of an adaptive kernel density estimator for finite mixture models. Statistics and Probability Letters, 76, 211-220.

14. R.J. Karunamuni and T. Alberts (2006). A locally adaptive transformation method of boundary correction in kernel density estimation. Journal of Statistical Planning and Inference, 136, 2936-2960.

15. R.J. Karunamuni and T. Alberts (2005). A generalized reflection method of boundary correction in kernel density estimation. The Canadian Journal of Statistics, 33, 497-509.

16. R.J. Karunamuni and T. Alberts (2005). On boundary correction in kernel density estimation. Statistical Methodology, 2, 191-212.