Ridge estimation in semi-parametric regression models under the stochastic restriction and correlated elliptically contoured errors

2020 ◽  
Vol 378 ◽  
pp. 112940 ◽  
Author(s):  
M. Roozbeh ◽  
G. Hesamian ◽  
M.G. Akbari
Keyword(s):  
Regression Models ◽  
Parametric Regression ◽  
Ridge Estimation ◽  
Elliptically Contoured ◽  
Parametric Regression Models

scholarly journals Parametric Regression Models Using Reversed Hazard Rates

2014 ◽  
Vol 2014 ◽  
pp. 1-5
Author(s):  
Asokan Mulayath Variyath ◽  
P. G. Sankaran
Keyword(s):  
Hazard Rate ◽  
Regression Models ◽  
Hazard Rates ◽  
Proportional Hazard ◽  
Survival Times ◽  
Parametric Regression ◽  
Reversed Hazard Rate ◽  
Rate Functions ◽  
The Relationship ◽  
Parametric Regression Models

Proportional hazard regression models are widely used in survival analysis to understand and exploit the relationship between survival time and covariates. For left censored survival times, reversed hazard rate functions are more appropriate. In this paper, we develop a parametric proportional hazard rates model using an inverted Weibull distribution. The estimation and construction of confidence intervals for the parameters are discussed. We assess the performance of the proposed procedure based on a large number of Monte Carlo simulations. We illustrate the proposed method using a real case example.

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