1) Confidence probability
置信概率
1.
Computer auto-arithmetic for confidence probability and interval with normal distribution;
正态分布置信概率和置信区间的计算机自动计算
2.
Investigations on principle of Monte Carlo simulation was made when considering characteri-(stics) of AWGN(additive white Gaussian noise) channel and the affects of three suitable parameters: error number,confidence probability and max relative error of simulation result.
研究了蒙特卡罗仿真原理和仿真结果置信度;结合AWGN(加性白高斯噪声)信道特点,甄选出3个合适的参量,即误码个数、置信概率和仿真结果最大相对误差;提出了AWGN信道下仿真数据量选取的一般性结论,即误码个数正比于置信区间上分位点的平方、反比于最大相对误差的平方。
3.
Both the analysis and the description are proved to be well within high confidence probability and claim many advantages as a necessity for college physics experimentation teaching.
结合普通物理实验的具体情况 ,利用相关概念 ,提出一种在高置信概率情况下使用简化的方法来分析实验的误差 ,表述测量结果 。
2) confidence level
置信概率
1.
Analysis method of GUM is all-purpose and effective, when confidence level is small, analysis method of ITTC will be limited and analysis method of GUM will be recommended for use.
在小置信概率时ITTC的适用性将受限制,此时推荐使用GUM描述。
3) fiducial probability
置信概率
1.
A new computational formula of fiducial probability in consideration of sample size and subsample standard deviation is derived from the least squares principle.
利用最小二乘原理,推导出考虑样本容量和子样标准差的求解置信概率的函数,继而确定数据的置信区间,对数据进行筛选。
2.
With the assumption that random error obeys normal distribution,and that system error is subject to uniform distribution,the distribution of the two kinds of combination misalignment obey was calculated according to probability knowledge,and then fiducial probability of the corresponding confidence interval was determined.
首先假设随机误差服从正态分布,系统误差服从均匀分布,然后根据概率知识计算出两种复合误差所服从的分布,进而计算出对应不同置信区间的置信概率。
6) Confidential interval of probability
概率置信区间
补充资料：置信概率
分子式：
CAS号：
性质：用来衡量统计推断可靠程度的概率。其意义是指在进行统计推断时，被估参数包含在某一范围内的概率。
CAS号：
性质：用来衡量统计推断可靠程度的概率。其意义是指在进行统计推断时，被估参数包含在某一范围内的概率。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条