Inference of dependent left-truncated and right-censored competing risks data from a general bivariate class of inverse exponentiated distributions
From MaRDI portal
Publication:5072991
DOI10.1080/02331888.2022.2047680OpenAlexW4220843488MaRDI QIDQ5072991
Fode Zhang, Liang Wang, Sanku Dey, Yogesh Mani Tripathi, Yuhlong Lio
Publication date: 5 May 2022
Published in: Unnamed Author (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888.2022.2047680
maximum likelihood estimationleft-truncated and right-censored dataposterior analysisa general class of inverse exponentiated distributionsdependence competing risks model
Cites Work
- Unnamed Item
- Unnamed Item
- A goodness of fit test for left-truncated and right-censored data
- Bivariate generalized exponential distribution
- Analysis of dependent competing risks in the presence of progressive hybrid censoring using Marshall-Olkin bivariate Weibull distribution
- Inference of progressively censored competing risks data from Kumaraswamy distributions
- Analysis of left truncated and right censored competing risks data
- Bayesian inference of Weibull distribution based on left truncated and right censored data
- Bayesian analysis of Weibull distribution based on progressive type-II censored competing risks data with binomial removals
- Classical and Bayesian estimation of reliability in a multicomponent stress-strength model based on a general class of inverse exponentiated distributions
- Left truncated and right censored Weibull data and likelihood inference with an illustration
- Objective Bayesian analysis for competing risks model with Wiener degradation phenomena and catastrophic failures
- Semiparametric methods for left-truncated and right-censored survival data with covariate measurement error
- Statistical inference for the generalized inverted exponential distribution based on upper record values
- Prediction of remaining life of power transformers based on left truncated and right censored lifetime data
- Likelihood inference for lognormal data with left truncation and right censoring with an illustration
- Bayes estimation for the Marshall-Olkin bivariate Weibull distribution
- On generalized progressive hybrid censoring in presence of competing risks
- Nonparametric Bayesian Analysis of Competing Risks Problem with Masked Data
- Inference for a general family of inverted exponentiated distributions with partially observed competing risks under generalized progressive hybrid censoring
- Nonparametric estimation for right-censored length-biased data: a pseudo-partial likelihood approach
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Statistical analysis of dependent competing risks model in accelerated life testing under progressively hybrid censoring using copula function
- On the dependent competing risks using Marshall–Olkin bivariate Weibull model: Parameter estimation with different methods
- Statistical inference based on left truncated and interval censored data from log-location-scale family of distributions
- Reliability Estimation from Left-Truncated and Right-Censored Data Using Splines
- Equation of State Calculations by Fast Computing Machines
- Likelihood estimation for a general class of inverse exponentiated distributions based on complete and progressively censored data
- A Multivariate Exponential Distribution
- Monte Carlo sampling methods using Markov chains and their applications
- Bayesian analysis of series system with dependent causes of failure
This page was built for publication: Inference of dependent left-truncated and right-censored competing risks data from a general bivariate class of inverse exponentiated distributions