Maximum likelihood estimation for a special exponential family under random double-truncation

DOI10.1007/s00180-015-0564-zzbMath1329.65030OpenAlexW2059110770MaRDI QIDQ134937

Ya-Hsuan Hu, Takeshi Emura, Ya-Hsuan Hu, Takeshi Emura

Publication date: 12 February 2015

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-015-0564-z

zbMATH Keywords

survival analysisfixed point iterationNewton-Raphson algorithmtruncated data

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10) Censored data models (62N01)

Related Items (14)

Weighted rank estimation for nonparametric transformation models with doubly truncated data ⋮ Regression analysis of doubly truncated data based on pseudo-observations ⋮ Retrospective sampling of survival data based on a Poisson birth process: conditional maximum likelihood ⋮ Quantile regression for doubly truncated data ⋮ Pseudo maximum likelihood estimation for the Cox model with doubly truncated data ⋮ Fitting competing risks data to bivariate Pareto models ⋮ Asymptotic inference for maximum likelihood estimators under the special exponential family with double-truncation ⋮ Likelihood-based analysis of doubly-truncated data under the location-scale and AFT model ⋮ Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data ⋮ Likelihood-based inference for bivariate latent failure time models with competing risks under the generalized FGM copula ⋮ Parametric likelihood inference and goodness-of-fit for dependently left-truncated data, a copula-based approach ⋮ double.truncation ⋮ Pseudo MLE for semiparametric transformation model with doubly truncated data ⋮ Bayesian estimation of a lifetime distribution under double truncation caused by time-restricted data collection

Uses Software

• R

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Nonparametric analysis of doubly truncated data
• Statistical inference based on the nonparametric maximum likelihood estimator under double-truncation
• Bandwidth selection for kernel density estimation with doubly truncated data
• Empirical copulas for consecutive survival data
• Multivariate normal distribution approaches for dependently truncated data
• A goodness-of-fit test for parametric models based on dependently truncated data
• The singly truncated normal distribution: A non-steep exponential family
• Identification of models using failure rate and mean residual life of doubly truncated random variables
• Kernel density estimation with doubly truncated data
• Goodness-of-fit tests for a semiparametric model under random double truncation
• Bootstrap based goodness-of-fit-tests
• Analysing bivariate survival data with interval sampling and application to cancer epidemiology
• Bootstrapping the NPMLE for doubly truncated data
• Nonparametric analysis of truncated survival data, with application to AIDS
• Nonparametric Methods for Doubly Truncated Data
• Multi-state models for event history analysis
• Inference for multi-state models from interval-censored data

This page was built for publication: Maximum likelihood estimation for a special exponential family under random double-truncation