Non Bayesian estimation for survival and hazard function of weighted Rayleigh distribution (b)

Authors

  • Saad Adnan Zain university of Baghdad

DOI:

https://doi.org/10.24996/ijs.2020.61.11.27

Abstract

In this paper, we proposed a new class of Weighted Rayleigh Distribution based on two parameters, one is scale parameter and the other is shape parameter which introduced in Rayleigh distribution. The main properties of this class are derived and investigated in . The moment method and maximum likelihood method are used to obtain estimators of parameters, survival function and hazard function. Real data sets are collected to investigate two methods which depend it in this study. A comparison was made between two methods of estimation.

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Published

2020-11-28

Issue

Section

Mathematics

How to Cite

Non Bayesian estimation for survival and hazard function of weighted Rayleigh distribution (b). (2020). Iraqi Journal of Science, 61(11), 3059-3071. https://doi.org/10.24996/ijs.2020.61.11.27