Work

Adaptive Type-II Progressive Censoring Schemes based on Maximum Product Spacing with Application of Generalized Rayleigh Distribution

Year: 2021

Type: article

Abstract: In this paper, parameters estimation for the generalized Rayleigh (GR) distribution are discussed under the adaptive type-II progressive censoring schemes based on maximum product spacing. A comparison studies with another methods as maximum likelihood, and Bayesian estimation by use Markov chain Monte Carlo (MCMC) are discussed. Also, reliability estimation and hazard function are obtained. A numerical study using real data and Monte Carlo Simulation are performed to compare between different methods.

Source: Journal of Data Science

DOI: 10.6339/jds.201910_17(4).0010

Authors: Ehab Mohamed Almetwally, Hisham Mohamed Almongy, ElSayed A. ElSherpieny

Institutions: Cairo University, Mansoura University

Language: English

Topic: Statistical Distribution Estimation and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W3134028126

FWCI: 3.606

Cites: 32

Cited by: 29

Related to: 10