Moments and Estimation of the Exponentiated Moment Exponential Distribution
Abstract
A new extension of moment exponential distribution, called exponentiated moment exponential distribution
(EMED), was recently introduced by Hasnain [14]. Based on lower generalized order statistics, we
first derive the explicit expressions as well as recurrence relations for single and product moments of lower
generalized order statistics and we use these results to compute the means, variances and coefficients of
skewness and kurtosis of EMED. Further, using a recurrence relation for single moment, we obtain characterization
of EMED. Next we obtain the maximum likelihood estimators of the unknown parameters
and the approximate confidence intervals of the EMED. Finally, we consider Bayes estimation under the
symmetric and asymmetric loss functions using gamma priors for both shape and scale parameters. We
have are also derived the Bayes interval of this distribution. Monte Carlo simulations are performed to
compare the performances of the proposed methods.
Keywords
References
- [1] Ahsanullah, M., On lower generalized order statistics and a characterization of power function distribution. Stat. Methods, 7 (2005), 16-28.
- [2] Arnold, B. C., Balakrishnan, N. and Nagaraja, H. N., A First Course in Order Statistics. John Wiley, New York, (1992).
- [3] Balakrishnan, N. and Cohan, A.C., Order Statistics and Inference: Estimation Methods. Academic Press, San Diego, (1991).
- [4] Brown, M., Low Density Traffic Streams. Advances in Applied Probability, 4 (1972), 177-192.
- [5] Bieniek, M. and Szynal, D., Characterizations of distributions via linearity of regression of generalized order statistics. Metrika, 58 (2003), 259-271.
- [6] Burkschat, M., Cramer, E. and Kamps, U., Dual generalized order statistics. Metron, LXI (2003), 13-26.
- [7] Calabria, R. and Pulcini, G., Point estimation under asymmetric loss functions for left-truncated exponential samples. Comm. Statist. Theory Methods, 25 (1996), 585-600.
- [8] Chandler, K. N., The distribution and frequency of record values, J. Roy. Stat. Soc. B. 14 (1952), 220-228.
- [9] Cramer, E., Kamps, U. and Keseling, C., Characterization via linear regression of ordered random variables: a unifying approach. Communications in Statistics-Theory and Methods, 33 (2004), 2885-2911.
- [10] Dara, S.T. and Ahmad, M., Recent Advances in Moment Distributions and their Hazard Rate. Ph.D. Thesis. National College of Business Administration and Economics, Lahore, Pakistan, (2012).