Shrinkage estimation in lognormal regression model for censored data
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Publication:5138524
DOI10.1080/02664763.2016.1168365OpenAlexW2344364302MaRDI QIDQ5138524
Shakhawat Hossain, Hatem A. Howlader
Publication date: 4 December 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2016.1168365
likelihood ratio testMonte Carlo simulationshrinkage estimatorsadaptive Lassoasymptotic distributional bias and risklognormal regression
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- LASSO and shrinkage estimation in Weibull censored regression models
- Shrinkage estimation in general linear models
- Improved estimation in lognormal regression models
- Variable selection for Cox's proportional hazards model and frailty model
- Survival analysis. Techniques for censored and truncated data.
- Adaptive Lasso Variable Selection for the Accelerated Failure Models
- Regularized Estimation in the Accelerated Failure Time Model with High-Dimensional Covariates
- SHRINKAGE, PRETEST AND ABSOLUTE PENALTY ESTIMATORS IN PARTIALLY LINEAR MODELS
- Linear Estimation of a Regression Relationship from Censored Data: Part II Best Linear Unbiased Estimation and Theory
- Modified method on the means for several log-normal distributions
- Adaptive Lasso for Cox's proportional hazards model
- Theory of Preliminary Test and Stein‐Type Estimation With Applications
