• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE international conference on computer science and information technology >Statistical Inference Based on Type II Censored Samples From the Burr Type XII Distribution
【24h】

Statistical Inference Based on Type II Censored Samples From the Burr Type XII Distribution

机译：基于Burr XII分布的II类删失样本的统计推断

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Type-1 and Type-II censoring schemes are the two most popular censoring schemes. This article presents the statistical inferences of the unknown parameters of a Burr type XII distribution when the data are Type-II censored. It is well known that the maximum likelihood estimators can not be obtained in closed form. We propose a simple fixed point type algorithm to compute the maximum likelihood estimators. We also obtain the Bayes estimates of the unknown parameters under a squared error loss function. It is observed that the Bayes estimators can not be obtained in explicit forms. We use Lindley's approximation to compute the Bayes estimators and the importance sampling technique to compute the Bayes estimates and also to construct the corresponding credible intervals. Monte Carlo simulations are performed to observe the behavior of the proposed methods.
机译：Type-1和Type-II审查方案是两种最受欢迎​​的审查方案。本文介绍了在对II型数据进行审查时Burr XII型分布的未知参数的统计推断。众所周知，不能以封闭形式获得最大似然估计。我们提出了一种简单的定点类型算法来计算最大似然估计量。我们还获得平方误差损失函数下未知参数的贝叶斯估计。可以看出，不能以显式形式获得贝叶斯估计量。我们使用Lindley逼近来计算贝叶斯估计量，并使用重要性采样技术来计算贝叶斯估计量，并构造相应的可信区间。进行蒙特卡洛模拟以观察所提出方法的行为。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号