Please wait a minute...
浙江大学学报(理学版)  2017, Vol. 44 Issue (6): 692-704    DOI: 10.3785/j.issn.1008-9497.2017.06.008
数学与计算机科学     
全样本场合下两参数Birnbaum-Saunders疲劳寿命分布的统计分析
徐晓岭1, 王蓉华2, 顾蓓青1
1. 上海对外经贸大学 统计与信息学院, 上海 201620;
2. 上海师范大学 数理学院, 上海 200234
Statistical analysis of two-parameter Birnbaum-Saunders fatigue life distribution under full sample
XU Xiaoling1, WANG Ronghua2, GU Beiqing1
1. School of Statistics and Information, Shanghai University of International Business and Economics, Shanghai 201620, China;
2. Mathematics and Science College, Shanghai Normal University, Shanghai 200234, China
 全文: PDF(1104 KB)   HTML  
摘要: 通过对数变换给出了求两参数Birnbaum-Saunders (BS)疲劳寿命分布BS (α,β)在全样本场合下参数的对数矩估计,并通过大量Monte-Carlo模拟比较了各种点估计方法的精度.基于对数变换通过一阶泰勒展开,将两参数BS疲劳寿命分布BS (α,β)近似看作两参数对数正态分布,由此得到了2个参数α,β的近似区间估计,通过Monte-Carlo模拟发现,所给出的近似方法比原有方法更精确.最后通过若干实例说明了方法的可行性.
关键词: 两参数Birnbaum-Saunders疲劳寿命分布形状参数刻度参数点估计近似区间估计    
Abstract: The logarithmic moment estimations of parameters are proposed by logarithmic transformation for two-parameter Birnbaum-Saunders(BS) fatigue life distribution BS(α,β) under the full sample. The precisions of various point estimation methods are compared by a large number of Monte-Carlo simulations. Two-parameter BS fatigue life distribution BS(α,β) is approximately regarded as two-parameter lognormal distribution through the first order Taylor expansion based on logarithmic transformation. Then, the approximate interval estimations of two parameters α,β are obtained, and it can be found that this approximate method is more accurate than the original method by Monte-Carlo simulations. Finally, several examples show the feasibility of the methods.
Key words: two-parameter Birnbaum-Saunders fatigue life distribution    shape parameter    scale parameter    point estimation    approximate interval estimation
收稿日期: 2016-12-07 出版日期: 2018-04-09
CLC:  O213  
基金资助: 国家自然科学基金资助项目(11671264).
通讯作者: 顾蓓青,ORCID:http//orcid.org/0000-0003-1539-8747,E-mail:gubeiqing@suibe.edu.cn.     E-mail: gubeiqing@suibe.edu.cn
作者简介: 徐晓岭(1965-),ORCID:http//orcid.org/0000-0002-9442-8555,男,博士,教授,主要从事应用统计研究,E-mail:xlxu@suibe.edu.cn.
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
徐晓岭
王蓉华
顾蓓青

引用本文:

徐晓岭, 王蓉华, 顾蓓青. 全样本场合下两参数Birnbaum-Saunders疲劳寿命分布的统计分析[J]. 浙江大学学报(理学版), 2017, 44(6): 692-704.

XU Xiaoling, WANG Ronghua, GU Beiqing. Statistical analysis of two-parameter Birnbaum-Saunders fatigue life distribution under full sample. Journal of ZheJIang University(Science Edition), 2017, 44(6): 692-704.

链接本文:

https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2017.06.008        https://www.zjujournals.com/sci/CN/Y2017/V44/I6/692

[1] BIRNBAUM Z W, SAUNDERS S C. A new family of life distribution[J]. Journal of Applied Probability, 1969, 6(2):319-327.
[2] DESMOND A F. Stochastic models of failure in random environments[J]. Canadian Journal of Statistics, 1985, 13(3):171-183.
[3] DESMOND A F. On the relationship between two fatigue-life models[J]. IEEE Transactions on Reliability, 1986, 35(2):167-169.
[4] BIRNBAUM Z W, SAUNDERS S C. Estimation for a family of life distributions with applications to fatigue[J]. Journal of Applied Probability, 1969, 6(2):328-347.
[5] ENGELHARDT M, BAIN L J, WRIGHT F T. Inferences on the parameters of the Birnbaum Saunders fatigue life distribution based on maximum likelihood estimation[J]. Technometrics, 1981, 23(3):251-256.
[6] RIECK J R, NEDELMAN J R. A log-linear model for the Birnbaum Saunders distribution[J]. Techanometrics, 1991, 33(1):51-60.
[7] NG H K T, KUNDU D, BALAKRISHNAN N. Modified moment estimation for the two-parameter Birnbaum-Saunders distribution[J]. Computational Statistics and Data Analysis, 2003, 43(3):283-298.
[8] DUPUIS D J, MILLS J E. Robust estimation of the Birnbaum-Saunders distribution[J]. IEEE Transactions on Reliability, 1998, 47(1):88-95.
[9] CHANG D S, TANG L C. Reliability bounds and critical time for the Birnbaum-Saunders distribution[J]. IEEE Transactions on Reliability, 1993, 42(3):464-469.
[10] RIECK J R. Parametric estimation for the Birnbaum-Saunders distribution based on symmetrically censored samples[J]. Communication in Statistics-Theory and Methods, 1995, 24(7):1721-1736.
[11] OWEN W J, PADGETT W J. A Birnbaum-Saunders accelerated life model[J]. IEEE Transactions on Reliability, 2000, 49(2):224-229.
[12] OWEN W J, PADGETT W J. Acceleration models for system strength based on Birnbaum-Saunders distribution[J]. Lifetime Data Analysis, 1999, 5(2):133-147.
[13] OWEN W J, PADGETT W J. Power-law accelerated Birnbaum-Saunders life models[J]. International Journal of Reliability Quality and Safety Engineering, 2000, 7(7):1-15.
[14] KUNDU D, KANNAN N, BALAKRISHNAN N. On the hazard function of Birnbaum-Saunders distribution and associated inference[J]. Computational Statistics & Data Analysis, 2008, 52(5):2692-2702.
[15] 王炳兴,王玲玲. Birnbaum-Saunders疲劳寿命分布的参数估计[J]. 华东师范大学学报:自然科学版, 1996(4):10-15. WANG B X, WANG L L. Parameter estimation of Birnbaum-Saunders fatigue life distribution[J]. Journal of East China Normal University:Natural Sciences, 1996(4):10-15.
[16] 王炳兴,王玲玲. Birnbaum-Saunders疲劳寿命分布在截尾试验情形的统计分析[J]. 应用概率统计, 1996, 12(4):369-375. WANG B X, WANG L L. Statistical analysis of Birnbaum-Saunders fatigue life distribution in the censored test case[J]. Applied Probability and Statistics, 1996, 12(4):369-375.
[17] 王蓉华,费鹤良. 双边截尾场合下BS疲劳寿命分布的参数估计[J]. 上海师范大学学报:自然科学版, 1999, 28(2):17-22. WANG R H, FEI H L. Parameter estimation for the BS fatigue life distribution under bilateral censoring[J]. Journal of Shanghai Normal University:Natural Sciences, 1999, 28(2):17-22.
[18] WANG R H, FEI H L. Statistical analysis for the Birnbaum-Saunders fatigue life distribution under multiply type Ⅱ censoring[J]. Chinese Quarterly Journal of Mathematics, 2006, 21(1):15-27.
[19] WANG R H, FEI H L. Statistical analysis for the Birnbaum-Saunders fatigue life distribution under type Ⅱ bilateral censoring and multiply type Ⅱ censoring[J]. Chinese Quarterly Journal of Mathematics, 2004, 19(2):126-132.
[20] 孙祝岭. Birnbaum-Saunders疲劳寿命分布尺度参数的区间估计[J]. 兵工学报, 2009, 30(11):1558-1561. SUN Z L. Interval estimation of scale parameter for Birnbaum-Saunders fatigue life distribution[J]. Acta Armamentarii, 2009, 30(11):1558-1561.
[21] 孙祝岭. Birnbaum-Saunders疲劳寿命分布参数的回归估计方法[J]. 兵工学报, 2010, 31(9):1260-1262. SUN Z L. Regression estimation method of parameters for Birnbaum-Saunders fatigue life distribution[J]. Acta Armamentarii, 2010, 31(9):1260-1262.
[22] 孙祝岭. 疲劳寿命分布变异系数的统计推断[J]. 质量与可靠性, 2013(1):13-15. SUN Z L. Statistical infere
[1] 孔翔,陈军. 一类带4个形状参数的同次三角曲面构造算法[J]. 浙江大学学报(理学版), 2023, 50(2): 153-159.
[2] 王海波, 杨当福, 佘卫勤, 刘圣军, 刘新儒, 陈月安, 白燕羽. 带2个形状参数的多项式可展曲面造型[J]. 浙江大学学报(理学版), 2021, 48(2): 131-142.
[3] 徐晓岭, 顾蓓青, 王蓉华. 两参数拉普拉斯BS疲劳寿命分布的统计分析[J]. 浙江大学学报(理学版), 2020, 47(6): 691-704.
[4] 张迪, 查东东, 刘华勇. 三次DP曲线定义区间的扩展及其形状优化[J]. 浙江大学学报(理学版), 2020, 47(2): 178-190.
[5] 徐晓岭, 王蓉华, 顾蓓青. 两参数Birnbaum-Saunders疲劳寿命分布图像特征的拓展分析[J]. 浙江大学学报(理学版), 2019, 46(1): 22-31.
[6] 严兰兰, 樊继秋. 保形分段三次多项式曲线的形状分析[J]. 浙江大学学报(理学版), 2018, 45(1): 44-53.
[7] 李军成, 宋来忠. 利用带形状参数的有理势函数构造基于Metaball的过渡曲线[J]. 浙江大学学报(理学版), 2017, 44(3): 307-313.
[8] 徐晓岭, 王蓉华, 顾蓓青. 关于两参数Birnbaum-Saunders疲劳寿命分布统计分析的2个注记[J]. 浙江大学学报(理学版), 2016, 43(5): 539-544.
[9] 严兰兰, 应正卫. 具有简单G3条件的可调曲线曲面[J]. 浙江大学学报(理学版), 2016, 43(1): 87-96.