The Length-Biased Weighted Erlang Distribution

Hesham M. Reyad *

College of Business and Economics, Qassim University, Kingdom of Saudi Arabia.

Soha A. Othman

Institute of Statistical Studies and Research, Cairo University, Egypt.

Alaaeddin A. Moussa

College of Business and Economics, Qassim University, Kingdom of Saudi Arabia.

*Author to whom correspondence should be addressed.


Abstract

We introduce and study a new continuous model so called, the length-biased weighted Erlang (LBWE) distribution. Some mathematical properties of the new distribution such as, raw and incomplete moments, generating functions, Rényi of entropy, order and record statistics are investigated. The moments and maximum likelihood estimates are obtained for the model parameters. An application to real data set is used to illustrate the usefullness of the new model.

Keywords: Erlang distribution, weighted distribution, maximum likelihood estimation, moments estimation, order statistics, record statistics


How to Cite

Reyad, Hesham M., Soha A. Othman, and Alaaeddin A. Moussa. 2017. “The Length-Biased Weighted Erlang Distribution”. Asian Research Journal of Mathematics 6 (3):1-15. https://doi.org/10.9734/ARJOM/2017/35963.

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