系统工程与电子技术

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小样本数据的三种区间估计方法性能分析

刘恒,梅卫,单甘霖   

  1. 军械工程学院,河北 石家庄 050003
  • 出版日期:2014-09-25 发布日期:2010-01-03

Analysis on performance of three interval estimation methods for small samples

LIU Heng, MEI Wei, SHAN Gan-lin   

  1. Ordnance Engineering College, Shijiazhuang 050003, China
  • Online:2014-09-25 Published:2010-01-03

摘要:

针对小样本数据的区间估计问题,将Bootstrap分析方法中的重复抽样思想引入到灰色估计理论中,提出改进的小样本区间估计算法。该算法首先对原始样本进行抽样处理获取新样本,然后基于灰色距离测度计算满足一定灰色置信度的灰色置信区间。针对3种不同灰色距离测度方法得到的置信区间,选择区间位置和区间宽度作为评价指标,以严谨的数学证明分析比较3种区间估计方法的性能。理论分析结果表明,灰色估计值离样本中最小值的距离最远是第3种方法置信区间位置最优的充分不必要条件;3种方法置信区间宽度的相互关系仅由灰色置信度决定。最后通过仿真验证了所提算法的有效性以及理论分析结果的正确性。

Abstract:

In allusion to the problem of interval estimation of small samples, an improved algorithm of interval estimation based on the idea of replicating sample from Bootstrap method into grey theory is proposed. A new sample is obtained by the idea of replicating sample from the original sample, and the grey confidence interval which satisfies grey confidence level is put forward by the grey distance measure formula. Choosing the evaluation index of interval position and interval width, the performance of intervals from the three different grey distance measure formulas is proved by the religious mathematic theorem. Theoretical analysis shows that, the condition that the distance is farthest between the grey estimation value and the least value of the sample is unnecessary and sufficient for the optimal interval position of the third method. The interrelation of interval width among the three methods is only determined by the grey confidence level. Finally, the validity of theoretical analysis results and the proposed methods are illustrated by simulation.