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金虫 (小有名气)

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专业: 计算数学与科学工程计算

[求助] The maximum likelihood ratio bounded joint confidence的数学含义是什么？

最近在做一些感度试验方面的工作，使用基于 "Neyer D-Optimal Test"的Neyer软件，所得结果中有两行为：
"The maximum likelihood ratio bounded joint confidence=..."
"The maximum likelihood ratio bounded individual confidence=..."
不清楚这个是什么意思，希望得到您的帮助，谢谢！

模拟结果见下：

Likelihood Ratio Analysis Using Linear Normal Response
Neyer D-Optimal, SenTest Version 1.00+, Serial Number 0000.
Data collected on 15:55:48 Tuesday, August 28, 2012.
MuMin =  5, MuMax =  15, SigmaGuess =  1, Number of Responses Per Trial =  1, Number of Tria
Linear Normal Response Assumed. Units = v
SigmaGuess =  0.8
   Stimulus No Response Response
   5.00000,       1,       0
   6.25000,       1,       0
   6.87500,       1,       0
   7.50000,       0,       1 <- Lowest Response
   8.49150,       1,       0 <- Highest No Response
   9.54083,       0,       1
   9.92681,       0,       1
   10.0000,       0,       1
Number of stimulus values = 8, Number of items tested = 8
Number of Failures = 4, Number of Successes = 4

         Mu =    8.03066 v          Sigma =    1.08522 v
0.001000 Level =    4.67676 v 0.999000 Level =    11.3846 v

Estimated Lower Bound of Variance of Mu = 0.468665 v^2
Estimated Lower Bound of Variance of Sigma = 0.359815 v^2
Estimated CoVariance of Mu and Sigma =  -0.0239675 v^2

The log of the likelihood function = -2.62671
The maximum likelihood ratio bounded joint confidence = 0.945983
The maximum likelihood ratio bounded individual confidence = 0.984307

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