Generalized Birnbaum-Saunders distribution;
Maximum likelihood estimation;
EM algorithm;
Scoring algorithm;
LIFE DISTRIBUTIONS;
FAMILY;
MODELS;
D O I:
10.1080/03610918.2019.1659359
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
In the last decade, Diaz-Garcia and Leiva-Sanchez (2005, 2007) proposed a generalized Birnbaum-Saunders distribution based on elliptically contoured distributions. A special case of this generalization is Student's t Birnbaum-Saunders distribution. This flexible lifetime distribution generalizes both the Cauchy Birnbaum-Saunders distribution and the two-parameter Birnbaum-Saunders distribution. In this comparison paper, we discuss maximum likelihood estimation methods for the parameters of this distribution. We numerically illustrate and examine the performances of all discussed methods using extensive Monte Carlo simulations and illustrative examples. Furthermore, we analyze real-life data to assess the practical usage of the considered generalized family of distributions, and to illustrate the discussed estimation methods.
机构:
Aletheia Univ, Dept Ind Management & Enterprise Informat, New Taipei City 251, TaiwanAletheia Univ, Dept Ind Management & Enterprise Informat, New Taipei City 251, Taiwan
机构:
Xian Jiaotong Liverpool Univ, Dept Math Sci, Suzhou 215123, Peoples R ChinaXian Jiaotong Liverpool Univ, Dept Math Sci, Suzhou 215123, Peoples R China
Zhu, Xiaojun
Balakrishnan, N.
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机构:
McMaster Univ, Dept Math & Stat, Hamilton, ON L8S 4K1, CanadaXian Jiaotong Liverpool Univ, Dept Math Sci, Suzhou 215123, Peoples R China
Balakrishnan, N.
Saulo, Helton
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机构:
Univ Brasilia, Dept Stat, BR-70910900 Brasilia, DF, BrazilXian Jiaotong Liverpool Univ, Dept Math Sci, Suzhou 215123, Peoples R China