Maximum profile binomial likelihood estimation for the semiparametric Box-Cox power transformation model

DOI10.1214/23-ejs2146arXiv2105.08677OpenAlexW4287180379MaRDI QIDQ6184879

Baojiang Chen, Unnamed Author, Peng-Fei Li, Unnamed Author

Publication date: 5 January 2024

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2105.08677

zbMATH Keywords

empirical processes Box-Cox transformation M-estimation semiparametric inference U-processes binomial likelihood

Mathematics Subject Classification ID

Survival analysis and censored data (62N99) Estimation in survival analysis and censored data (62N02)

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Combining isotonic regression and EM algorithm to predict genetic risk under monotonicity constraint
New methods for analyzing structural models of labor force dynamics
Instrumental variable estimator for the nonlinear errors-in-variables model
Non-parametric analysis of a generalized regression model. The maximum rank correlation estimator
Large computation of the maximum rank correlation estimator
Rank estimators for monotonic index models
Quantile regression, Box-Cox transformation model and the U.S. wage structure, 1963--1987
Leapfrog estimation of a fixed-effects model with unknown transformation of the dependent variable
Weak convergence and empirical processes. With applications to statistics
Smoothed empirical likelihood inference and variable selection for quantile regression with nonignorable missing response
Introduction to empirical processes and semiparametric inference
DISTRIBUTION-FREE ESTIMATION OF THE BOX–COX REGRESSION MODEL WITH CENSORING
Pairwise Rank-Based Likelihood for Estimation and Inference on the Mixture Proportion
Transformations in Regression: A Robust Analysis
The Analysis of Transformed Data
Efficient Instrumental Variables Estimation of Nonlinear Models
Best Nonlinear Three-Stage Least Squares Estimation of Certain Econometric Models
Implementing Box–Cox Quantile Regression
Semiparametric Box–Cox power transformation models for censored survival observations
Power transformations to symmetry
Measures of Location of Skew Distributions Obtained Through Box-Cox Transformations
Using a Generalized Mean as a Measure of Location
An Analysis of Transformations Revisited
Partial likelihood
Estimation for the Box-Cox Transformation Model Without Assuming Parametric Error Distribution
Maximum multinomial likelihood estimation in compound mixture model with application to malaria study
The Limiting Distribution of the Maximum Rank Correlation Estimator
Power Transformation Toward a Linear Regression Quantile
Note on the Consistency of the Maximum Likelihood Estimate

This page was built for publication: Maximum profile binomial likelihood estimation for the semiparametric Box-Cox power transformation model