期刊文献+

Statistical Analysis of Two-Parameter Generalized BS-Logistic Fatigue Life Distribution

Statistical Analysis of Two-Parameter Generalized BS-Logistic Fatigue Life Distribution
原文传递
导出
摘要 The logarithmic moment estimations of parameters are proposed for two-parameter generalized Birnbaum-Saunders Logistic fatigue life distribution GBS-Logistic(α,β)under the full sample.The precisions of point estimations are investigated and compared with other point estimations by Monte-Carlo simulations.The approximate interval estimations of parameters are given by using Taylor expansion,and the precisions of approximate interval estimations are investigated by Monte-Carlo simulations.Finally,several examples show the feasibility of the methods. The logarithmic moment estimations of parameters are proposed for two-parameter generalized Birnbaum-Saunders Logistic fatigue life distribution GBS-Logistic(α, β) under the full sample.The precisions of point estimations are investigated and compared with other point estimations by Monte-Carlo simulations. The approximate interval estimations of parameters are given by using Taylor expansion, and the precisions of approximate interval estimations are investigated by Monte-Carlo simulations. Finally, several examples show the feasibility of the methods.
出处 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2019年第4期1231-1250,共20页 系统科学与复杂性学报(英文版)
基金 supported by the National Natural Science Foundation of China under Grant No.11671264
关键词 Approximate interval ESTIMATION point ESTIMATION scale PARAMETER shape PARAMETER TWO-PARAMETER GENERALIZED Birnbaum-Saunders LOGISTIC fatigue life DISTRIBUTION Approximate interval estimation point estimation scale parameter shape parameter two-parameter generalized Birnbaum-Saunders Logistic fatigue life distribution
  • 相关文献

参考文献2

二级参考文献4

共引文献17

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部