An Additive-Multiplicative Restricted Mean Residual Life Model

2015 ◽  
Vol 43 (2) ◽  
pp. 487-504 ◽  
Author(s):  
Zahra Mansourvar ◽  
Torben Martinussen ◽  
Thomas H. Scheike
Keyword(s):  
Residual Life ◽  
Mean Residual Life ◽  
Life Model

Random Effect Additive Mean Residual Life Model

2016 ◽  
Vol 65 (2) ◽  
pp. 860-866 ◽  
Author(s):  
M. Kayid ◽  
S. Izadkhah ◽  
D. ALmufarrej
Keyword(s):  
Residual Life ◽  
Random Effect ◽  
Mean Residual Life ◽  
Life Model

On the Mixture Proportional Mean Residual Life Model

2013 ◽  
Vol 44 (20) ◽  
pp. 4263-4277 ◽  
Author(s):  
Majid Rezaei ◽  
Behzad Gholizadeh
Keyword(s):  
Residual Life ◽  
Mean Residual Life ◽  
Life Model

An additive-multiplicative mean residual life model for right-censored data

2017 ◽  
Vol 59 (3) ◽  
pp. 579-592 ◽  
Author(s):  
Jingheng Cai ◽  
Haijin He ◽  
Xinyuan Song ◽  
Liuquan Sun
Keyword(s):  
Censored Data ◽  
Residual Life ◽  
Mean Residual Life ◽  
Right Censored Data ◽  
Life Model ◽  
Multiplicative Mean

scholarly journals Fisher consistent estimation of regression parameter in the proportional mean residual life model with frailty

Ekonomia ◽  
2021 ◽  
Vol 27 (2) ◽  
pp. 81-88
Author(s):  
Magdalena Skolimowska-Kulig
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Regression Models ◽  
Residual Life ◽  
Likelihood Estimation ◽  
Mean Residual Life ◽  
Regression Parameter ◽  
Consistent Estimation ◽  
Regression Parameters ◽  
Life Model

In the article, we consider the Fisher consistent estimation of the regression parameters in the proportional mean residual life model with arbitrary frailty. It is discussed that conventional estimation procedures, such as the maximum likelihood estimation or Cox’s approach, which are employed in common regression models, may also yield consistent inference in the extended models.

scholarly journals Rank Estimation for Mean Residual Life Transformation Model

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Xiaoping Chen
Keyword(s):  
Residual Life ◽  
Rank Correlation ◽  
Transformation Model ◽  
Mean Residual Life ◽  
Finite Sample ◽  
Data Set ◽  
Finite Sample Properties ◽  
Life Model ◽  
The Mean ◽  
Life Transformation

This paper proposes a new and important class of mean residual life regression model, which is called the mean residual life transformation model.  The link function is assumed to be unknown and increasing in its second argument, but it is permitted to be not differentiable. The mean residual life transformation model encompasses the proportional mean residual life model, the additive mean residual life model, and so on. Under maximum rank correlation estimation, we present the estimation procedures, whose asymptotic and finite sample properties are established. The consistent variance can be estimated by a resampling method via perturbing the U -statistics objective function repeatedly which avoids the usual sandwich choice. Monte Carlo simulations reveal good finite sample performance and the estimators are illustrated with the Oscar data set.

scholarly journals Analysis of combined incident and prevalent cohort data under a proportional mean residual life model

2019 ◽  
Vol 38 (12) ◽  
pp. 2103-2114 ◽  
Author(s):  
Chi Hyun Lee ◽  
Jing Ning ◽  
Richard J. Kryscio ◽  
Yu Shen
Keyword(s):  
Residual Life ◽  
Mean Residual Life ◽  
Cohort Data ◽  
Prevalent Cohort ◽  
Life Model
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