A new three-parameter extension to the Birnbaum-Saunders distribution

被引:36
|
作者
Owen, William J. [1 ]
机构
[1] Univ Richmond, Dept Math & Comp Sci, Richmond, VA 23173 USA
关键词
cycles to failure; fatigue; Gaussian process; long-memory process; maximum likelihood estimation;
D O I
10.1109/TR.2006.879646
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The Binrbaum-Saunders (B-S) distribution was derived in 1969 as a lifetime model for a specimen subjected to cyclic patterns of stresses and strains, and the ultimate failure of the specimen is assumed to be due to the growth of a dominant crack in the material. The derivation of this model will be revisited, and because the assumption of independence of crack extensions from cycle to cycle can be quite unrealistic, one new model will be derived by relaxing this independence assumption. Here, the sequence of crack extensions is modeled as a long memory process, and characteristics of this development introduces a new third parameter. The model is investigated in detail, and interestingly the original B-S distribution is included as a special case. Inference procedures are also discussed, and an example dataset is used for model comparison.
引用
收藏
页码:475 / 479
页数:5
相关论文
共 50 条
  • [21] An extended Birnbaum-Saunders distribution: Theory, estimation, and applications
    Cordeiro, Gauss M.
    Lima, Maria Do Carmo S.
    Cysneiros, Audrey H. M. A.
    Pascoa, Marcelino A. R.
    Pescim, Rodrigo R.
    Ortega, Edwin M. M.
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2016, 45 (08) : 2268 - 2297
  • [22] Bayesian inference for Birnbaum-Saunders distribution and its generalization
    Sha, Naijun
    Ng, Tun Lee
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2017, 87 (12) : 2411 - 2429
  • [23] Estimation based on ranked set sampling for the two-parameter Birnbaum-Saunders distribution
    Pedroso, Vinicius Cesar
    Taconeli, Cesar Augusto
    Giolo, Suely Ruiz
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2021, 91 (02) : 316 - 333
  • [24] An Exponentiated Multivariate Extension for the Birnbaum-Saunders Log-Linear Model
    Martinez-Florez, Guillermo
    Braz Azevedo-Farias, Rafael
    Tovar-Falon, Roger
    MATHEMATICS, 2022, 10 (08)
  • [25] Birnbaum-Saunders nonlinear regression models
    Lemonte, Artur J.
    Cordeiro, Gauss M.
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2009, 53 (12) : 4441 - 4452
  • [26] The Kummer beta Birnbaum-Saunders: An alternative fatigue life distribution
    Pescim, Rodrigo R.
    Cordeiro, Gauss M.
    Nararajah, Saralees
    Demetrio, Clarice G. B.
    Ortega, Edwin M. M.
    HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS, 2014, 43 (03): : 473 - 510
  • [27] Bimodal Birnbaum-Saunders distribution with applications to non negative measurements
    Olmos, Neveka M.
    Martinez-Florez, Guillermo
    Bolfarine, Heleno
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 46 (13) : 6240 - 6257
  • [28] A Birnbaum-Saunders accelerated life model
    Owen, WJ
    Padgett, WJ
    IEEE TRANSACTIONS ON RELIABILITY, 2000, 49 (02) : 224 - 229
  • [29] Birnbaum-Saunders sample selection model
    Bastos, Fernando de Souza
    Barreto-Souza, Wagner
    JOURNAL OF APPLIED STATISTICS, 2021, 48 (11) : 1896 - 1916
  • [30] A New Extended Birnbaum-Saunders Model: Properties, Regression and Applications
    Cordeiro, Gauss Moutinho
    Soares de Lima, Maria do Carmo
    Marcos Ortega, Edwin Moises
    Suzuki, Adriano Kamimura
    STATS, 2018, 1 (01): : 32 - 47