Subscribe Now Subscribe Today
Science Alert
Curve Top
Asian Journal of Mathematics & Statistics
  Year: 2010 | Volume: 3 | Issue: 1 | Page No.: 1-15
DOI: 10.3923/ajms.2010.1.15
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Estimating the Negative Binomial Dispersion Parameter

Mohanad F. Al-Khasawneh

We proposed several estimators for the negative binomial dispersion parameter. The proposed estimators are combinations of existing ones using appropriate weights. We then compare, by simulation, the biases and efficiencies of the proposed estimators with those of the method of moments estimators and the maximum quasi-likelihood estimators. The simulation results indicate that the proposed estimators perform well in terms of biases and efficiencies in many instances. We conclude from this study that the combined estimators significantly reduce the mean bias of the estimators and more efficient than existing estimators. The relative efficiencies of all the combined estimators increases as the sample size increases.
PDF Fulltext XML References Citation Report Citation
  •    A Class of Product-cum-dual to Product Estimators of the Population Mean in Survey Sampling Using Auxiliary Information
  •    A Comparison of Methods to Detect Publication Bias for Meta-analysis of Continuous Data
How to cite this article:

Mohanad F. Al-Khasawneh , 2010. Estimating the Negative Binomial Dispersion Parameter. Asian Journal of Mathematics & Statistics, 3: 1-15.

DOI: 10.3923/ajms.2010.1.15






Curve Bottom