Open AccessNon Bayesian estimation for survival and hazard function of weighted Rayleigh distribution (b)
Author(s) -
Saad A. Zain
Publication year - 2020
Publication title -
iraqi journal of science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.152
H-Index - 4
eISSN - 2312-1637
pISSN - 0067-2904
DOI - 10.24996/ijs.2020.61.11.27
Subject(s) - rayleigh distribution , estimator , mathematics , statistics , moment (physics) , rayleigh scattering , bayesian probability , maximum likelihood , hazard , bayes estimator , scale parameter , function (biology) , class (philosophy) , distribution (mathematics) , probability density function , computer science , mathematical analysis , physics , artificial intelligence , chemistry , organic chemistry , classical mechanics , evolutionary biology , optics , biology
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.