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广义指数分布下循环序加试验模型的参数估计

邱雷颦

曲阜师范大学学报(自然科学版)Issue(1):33-38,6.
曲阜师范大学学报(自然科学版)Issue(1):33-38,6.DOI:10.3969/j.issn.1001-5337.2015.1.033

广义指数分布下循环序加试验模型的参数估计

Parameters Estimations for Models of Circular-progressive-stress Life Tests Under Generalized Exponential Distribution

邱雷颦1

作者信息

  • 1. 闽江师范高等专科学校计算机系,350002,福建省福州市
  • 折叠

摘要

Abstract

The statistical model and data analysis under accelerated life testing by circular-progressive-stress are discussed when the life distribution follows two-parameter generalized exponential distribution (GED).Three methods of the corresponding estimate of the parameters are given.They are maximum likelihood estimate (MLE),least-squares estimate combined with MLE,and minimum distances estimate combined with MLE.Finally,by using Monte Carlo Simulation,the advantage and disadvantage of these methods are showed.

关键词

广义指数分布/加速寿命试验/循环序进应力/最小距离估计

Key words

generalized exponential distribution/accelerated life testing/circular-progressive-stress/the minimum distances estimate

分类

数理科学

引用本文复制引用

邱雷颦..广义指数分布下循环序加试验模型的参数估计[J].曲阜师范大学学报(自然科学版),2015,(1):33-38,6.

曲阜师范大学学报(自然科学版)

1001-5337

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