Reliability inference for multicomponent stress-strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples
type: Item
instance of: scholarly article
title: Reliability inference for multicomponent stress-strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples
zbMATH Open document ID: 1505.62351
author: Shubham Saini
author: Renu Garg
published in: Computational Statistics
publication date: 2022-11-15T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62N05
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62N02
zbMATH DE Number: 7616913
zbMATH Keywords: progressive first failure censoring
zbMATH Keywords: Kumaraswamy-G family of distributions
zbMATH Keywords: multicomponent stress-strength reliability
zbMATH Keywords: maximum likelihood estimation
zbMATH Keywords: Bayesian estimation
MaRDI profile type: Publication
full work available at URL: s00180-021-01180-6
OpenAlex ID: W4206722858
cites work: Failure–censored reliability sampling plans for the exponential distribution
cites work: Estimation of Reliability in a Multicomponent Stress-Strength Model
cites work: A new family of generalized distributions
cites work: Estimation of reliability of multicomponent stress–strength for a Kumaraswamy distribution
cites work: Life Distributions
cites work: On progressively first failure censored Lindley distribution
cites work: Monte Carlo sampling methods using Markov chains and their applications
cites work: Objective Bayesian analysis for generalized exponential stress-strength model
cites work: On estimating the reliability in a multicomponent stress-strength model based on Chen distribution
cites work: On estimation of reliability in a multicomponent stress-strength model for a Kumaraswamy distribution based on progressively censored sample
cites work: Bayesian and classical estimation of reliability in a multicomponent stress-strength model under adaptive hybrid progressive censored data
cites work: Q4707042
cites work: Estimation of δ=P(X<Y) for Burr XII distribution based on the progressively first failure-censored samples
cites work: Estimation of reliability in a multicomponent stress-strength model for a general class of inverted exponentiated distributions under progressive censoring
cites work: Reliability estimation in a multicomponent stress-strength model for Burr XII distribution under progressive censoring
cites work: Reliability estimation in a multicomponent stress-strength model based on inverse Weibull distribution
cites work: Estimation and prediction for a progressively first-failure censored inverted exponentiated Rayleigh distribution
cites work: Equation of State Calculations by Fast Computing Machines
cites work: General results for the Kumaraswamy-G distribution
cites work: Burr-XII Distribution Parametric Estimation and Estimation of Reliability of Multicomponent Stress-Strength
cites work: Stress–strength reliability of a non-identical-component-strengths system based on upper record values from the family of Kumaraswamy generalized distributions
cites work: Estimation of stress–strength reliability for generalized Maxwell failure distribution under progressive first failure censoring
cites work: On the reliability estimation of multicomponent stress–strength model for Burr XII distribution using progressively first-failure censored samples
cites work: Estimation of the parameters of life for Gompertz distribution using progressive first-failure censored data
cites work: On the Estimation of Parameters of Kumaraswamy-GDistributions
cites work: On estimation based on progressive first-failure-censored sampling
DOI: 10.1007/S00180-021-01180-6
description: scientific article; zbMATH DE number 7616913