Robust estimation of the Birnbaum-Saunders distribution

被引：0
|
作者：
Dalhousie Univ, Halifax, Canada [1 ]
机构：
来源：
IEEE Trans Reliab | / 1卷 / 88-95期
基金：
加拿大自然科学与工程研究理事会;
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Modified moment estimation for the two-parameter Birnbaum-Saunders distribution
    Ng, HKT
    Kundu, D
    Balakrishnan, N
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2003, 43 (03) : 283 - 298
  • [42] Parameter estimation for the Birnbaum-Saunders distribution under an accelerated degradation test
    Ho, Jyh-Wen
    EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING, 2012, 6 (05) : 644 - 665
  • [43] Random number generator for the Birnbaum-Saunders distribution
    Dong, Shang Chang
    Loon, Ching Tang
    Computers and Industrial Engineering, 1994, 27 (1-4): : 345 - 348
  • [44] Bivariate Birnbaum-Saunders distribution and associated inference
    Kundu, Debasis
    Balakrishnan, N.
    Jamalizadeh, A.
    JOURNAL OF MULTIVARIATE ANALYSIS, 2010, 101 (01) : 113 - 125
  • [45] Bootstrap prediction intervals for the Birnbaum-Saunders distribution
    Lu, MC
    Chang, DS
    MICROELECTRONICS AND RELIABILITY, 1997, 37 (08): : 1213 - 1216
  • [46] Generalized Modified Slash Birnbaum-Saunders Distribution
    Reyes, Jimmy
    Barranco-Chamorro, Inmaculada
    Gallardo, Diego I.
    Gomez, Hector W.
    SYMMETRY-BASEL, 2018, 10 (12):
  • [47] SHORTEST PREDICTION INTERVALS FOR THE BIRNBAUM-SAUNDERS DISTRIBUTION
    DESMOND, AF
    YANG, ZL
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1995, 24 (06) : 1383 - 1401
  • [48] RELIABILITY STUDIES OF BIVARIATE BIRNBAUM-SAUNDERS DISTRIBUTION
    Gupta, Ramesh C.
    PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES, 2015, 29 (02) : 265 - 276
  • [49] Fast Bayesian Inference for Birnbaum-Saunders Distribution
    Teimouri, Mahdi
    COMPUTATIONAL STATISTICS, 2023, 38 (02) : 569 - 601
  • [50] Life scatter factor of Birnbaum-Saunders distribution
    Ma, Xiao-Bing
    Chen, Qin-Feng
    Zhang, Yuan-Xin
    Hangkong Dongli Xuebao/Journal of Aerospace Power, 2015, 30 (02): : 392 - 396
12345