Estimation of Parameter in a New Truncated Distribution
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Abstract: This paper discusses the estimation of the parameter in a truncated form of a discrete distribution which is analogous to Burr distribution. The maximum likelihood and the moment estimators of the parameter are obtained. Their asymptotic properties are also established.
Keywords:
Maximum Likelihood and Moment Estimators; Fisher Information; Asymptotic Relative Efficiency
Cite this paper:
G. Nanjundan, "Estimation of Parameter in a New Truncated Distribution," Open Journal of Statistics, Vol. 3 No. 4, 2013, pp. 221-224. doi: 10.4236/ojs.2013.34025.
References
[1] M. Sreehari, “On a Class of Discrete Distributions Analogous to Burr Family,” Journal of Indian Statistical Association, Vol. 46, No. 2, 2008, pp. 163-181.
[2] G. Nanjundan and T. Reevindra Naika, “Estimation of Parameter in a New Discrete Distribution Analogous to Burr Distribution,” Proceedings of the International Conference on Information Technology and Computer Application Engineering, 27-28 August 2013, Hong Kong. (To appear).
[3] H. Cramer, “Mathematical Methods of Statistics,” Princeton, 11th Print, Princeton University Press, Princeton, 1966.
[4] K. Knight, “Mathematical Statistics,” Chapman and Hall, London, 2000.