Parameter Estimation and Stress-Strength Model of Power Lomax Distribution: Classical Methods and Bayesian Estimation
نویسندگان
چکیده
In this paper, parameter estimation for the power Lomax distribution is studied with different methods as maximum likelihood, product spacing, ordinary least squares, weighted Cramér–von Mises and Bayesian by Markov chain Monte Carlo (MCMC). Robust of stress-strength model Power discussed. We propose that method spacing reliable an alternative to likelihood methods. A numerical study using real data Simulation performed compare between
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ژورنال
عنوان ژورنال: Journal of data science
سال: 2021
ISSN: ['1680-743X', '1683-8602']
DOI: https://doi.org/10.6339/jds.202010_18(4).0008