1) order statistics
有序统计量
2) Ordered statistics
有序统计
1.
CFAR detector based on ordered statistics and automatic censoring cell averaging;
基于有序统计和自动删除平均的恒虚警检测器
2.
The distribution of the minimum value was discussed in context of ordered statistics.
在有序统计的理论框架下,同时得到最小值分布的解析解。
3) order statistics
有序统计
1.
A new CFAR detector(MOSTM )based on order statistics(OS )and trimmed mean (TM)is proposed in this paper.
基于有序统计（ＯＳ）和剔除平均（ＴＭ）提出了一种新的恒虚警检测器（ＭＯＳＴＭ），它采用ＯＳ和ＴＭ来产生局部估计，再对二者平均来实现对杂波功率水平的估计，并应用了文献［４］提出的自动筛选技术。
2.
Simulation results based on local sensors in a distributed system indicate that in homogeneous environment,order statistics fusion rule based on fuzzy membership function has better performance than that the binary local decision rule has,and order statistics fusion ru.
为提高基于二元局部判决的分布式检测系统的检测性能,研究了基于模糊隶属度函数的分布式检测系统融合算法,提出了模糊有序统计融合准则。
4) ordering statistics
序统计量
1.
In the seller bidding of ordering statistics bidding function,define the expected deviation of the last non-winner\'s price and the winner\'s price as the bidding enterprise income,and it is a decrease function on the number of bidder.
在符合顺序统计量竞价函数的卖者竞标中,以最后1个未成交价与成交价差作为竞标行的收入,竞标行的期望收入是投标者数量的减函数。
5) order statistic
顺序统计量
1.
Distributional properties of order statistics of χ~2 distribution
关于χ~2分布顺序统计量的分布性质
2.
On distributional properties of order statistics with Laplace distribution
拉普拉斯分布顺序统计量的分布性质
3.
The expressions of the screening law and the mixing law have heen derived in view of the order statistic theory and the Lebesgue's decompose theorem, and the correctnes.
文中论述了随机变量的筛分与混和现象；由Ｋｏｌｍｏｇｏｒｏｖ－Ｓｍｉｒｎｏｖ检验表明，筛分与混和对随机变量分布的影响是强烈的；基于顺序统计量理论和Ｌｅｂｅｓｑｕｅ分解定理，导出了筛分律与混和律的表达式，并通过计算举例证明了这些表达式的正确
6) order statistics
次序统计量
1.
This paper explored the calculation formulas and the accuracy controlling of computing expected values of order statistics, and a numerical arithmetric for computing expected values of Pearson type-Ⅲ order statistics was presented.
本文探讨了P-Ⅲ型(皮尔逊Ⅲ型)分布次序统计量期望值数值计算的公式、数值计算的精度控 制等问题,在此基础上提出了P-Ⅲ型分布次序统计量期望值的数值计算框架。
2.
random variables, and explicit expressions are given for the value of Kendall’s and Spearman’s rank correlation coeffcient between minimum and maximum order statistics.
本文研究离散型随机变量之间的相关性度量,讨论了最小次序统计量和最大次序统计量的渐近独立性,给出了计算最小次序统计量和最大次序统计量的Kendall和Spearman秩相关系数的公式。
补充资料：分布和特征量统计(见统计分析)
分布和特征量统计(见统计分析)
fenbu he tezhengliang tongjj分布和特征量统计见统计分析。
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