Maximum likelihood approach to parameter estimation for linear functional relationships

1997 ◽  
Vol 8 (2) ◽  
pp. 187-193
Author(s):  
A. S. Mechenov
Keyword(s):  
Parameter Estimation ◽  
Maximum Likelihood ◽  
Linear Functional ◽  
Functional Relationships ◽  
Maximum Likelihood Approach ◽  
Likelihood Approach

scholarly journals Flexible Birnbaum–Saunders Distribution

Symmetry ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1305 ◽  
Author(s):  
Guillermo Martínez-Flórez ◽  
Inmaculada Barranco-Chamorro ◽  
Heleno Bolfarine ◽  
Héctor W. Gómez
Keyword(s):  
Parameter Estimation ◽  
Maximum Likelihood ◽  
Environmental Sciences ◽  
Maximum Likelihood Approach ◽  
Special Cases ◽  
Competing Models ◽  
Likelihood Approach ◽  
Iterative Maximum Likelihood ◽  
Extra Parameter ◽  
Better Than

In this paper, we propose a bimodal extension of the Birnbaum–Saunders model by including an extra parameter. This new model is termed flexible Birnbaum–Saunders (FBS) and includes the ordinary Birnbaum–Saunders (BS) and the skew Birnbaum–Saunders (SBS) model as special cases. Its properties are studied. Parameter estimation is considered via an iterative maximum likelihood approach. Two real applications, of interest in environmental sciences, are included, which reveal that our proposal can perform better than other competing models.

Sign in / Sign up

Export Citation Format

Share Document