正态分布尺度参数基于残缺观测数据的置信区间

Confidence Interval for Scale Parameter of Normal Distribution from Incomplete Observational Data

  • 摘要: 对于残缺的样本观测数据,讨论了正态分布总体尺度参数的区间估计问题。给出了适用于残缺观测数据的构造置信区间的一种方法,即只需知道样本的任意两个关于样本中心对称顺序统计量的值,就可求出总体多数的置信区间。讨论了相应的分布密度函数,给出了大样本近似分布。

     

    Abstract: A question of formation confidence interval for scale parameter of normal distribution from incomplete observational data is discussed. A new confidence interval method for scale parameter of population is given. Making use of two order statistics to construct a sample fonction for confidence interval estimation of the scale parameter, the probability density function of the sample function is discussed. A approximate distribution fonction from large sample is also obtained.

     

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