Maximum likelihood estimation in transformed linear regression with nonnormal errors
From MaRDI portal
Publication:2313272
DOI10.1214/18-AOS1726zbMath1421.62022OpenAlexW2946284903WikidataQ127815395 ScholiaQ127815395MaRDI QIDQ2313272
Ding-jiao Cai, Jianguo Sun, Kani Chen, Xing-wei Tong, Fu Qing Gao
Publication date: 18 July 2019
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.aos/1558425633
Asymptotic properties of parametric estimators (62F12) Linear regression; mixed models (62J05) Applications of statistics to environmental and related topics (62P12)
Related Items (2)
Genetic pleiotropy test by quasi \(p\)-value with application to typhoon data in China ⋮ Maximum likelihood estimation in transformed linear regression with nonnormal errors
Cites Work
- Unnamed Item
- Unnamed Item
- Partial rank estimation of duration models with general forms of censoring
- An extension of partial likelihood methods for proportional hazard models to general transformation models
- A non-parametric analysis of transformations
- Consistency in a proportional hazards model incorporating a random effect
- Efficient estimation of the partly linear additive Cox model
- Asymptotic theory for the frailty model
- Weak convergence and empirical processes. With applications to statistics
- Maximum likelihood estimation in transformed linear regression with nonnormal errors
- Penalized log-likelihood estimation for partly linear transformation models with current status data
- Varying coefficient transformation models with censored data
- Efficient estimation of semiparametric transformation models for counting processes
- Analysis of transformation models with censored data
- Asymptotic Statistics
- Miscellanea. On the linear transformation model for censored data
- Semiparametric analysis of transformation models with censored data
- On Profile Likelihood
- Semiparametric Estimation of a Regression Model with an Unknown Transformation of the Dependent Variable
- Maximum Likelihood Estimation in Semiparametric Regression Models with Censored Data
- The Limiting Distribution of the Maximum Rank Correlation Estimator
- Efficient Semiparametric Estimation of Short‐Term and Long‐Term Hazard Ratios with Right‐Censored Data
- Rank Estimation of Transformation Models
This page was built for publication: Maximum likelihood estimation in transformed linear regression with nonnormal errors
