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We discuss asymptotically best linear unbiased estimators of the Logistic population based on selected order statistics and give the formula of computing the ABLUE, the variance and the covariance of the ABLUE in limit, and properties of the ABLUE, and so on. We give the optimum chosen of spacing which is the ABLUE with maximum asymptotic relative efficiency based on complete sample when selected order statistics number is less than 10, and obtain its maximum asymptotic relative efficiency.

讨论基于Logistic总体Ⅱ型截尾样本的若干个样本分位数的总体分布参数的近似最佳线性无偏估计;给出了该近似最佳线性无偏估计的计算公式,估计方差与协方差的极限表达式及估计量的大样本性质等;给出了全样本,样本分位点个数固定,但不超过10情形下,使上述近似最佳线性无偏估计有最大相对联合估计效率时,样本分位数选取法及最大相对联合估计效率;为大样本情形下,该近似最佳线性无偏估计的应用提供了理论依据。

Topics include permutation tests, permutation limit theorems, 2-sample rank tests and their asymptotic efficiency, k-sample rank tests, 1-sample tests of location, paired comparisons, rank tests for symmetry and independence, and analogues of linear modeling based on ranks.

包括排列检验,排列极限理论,两样本秩检验及其渐进有效性,k个样本的秩检验,单样本的位置检验,配对比较检验,对称分布和独立分布的秩检验,基于秩的线性模型的模拟。

Topics include permutation tests, permutation limit theorems, 2-sample rank tests and their asymptotic efficiency, k-sample rank tests, 1-sample tests of location, paired comparisons, rank tests for symmetry and independence, and analogues

包括排列检验,排列极限理论,两样本秩检验及其渐进有效性,k个样本的秩检验,单样本的位置检验,配对比较检验,对称分布和独立分布的秩检验,基于秩的线性模型的模拟。

Finishing calculation of mean value, standard deviation, skewness, kurtosis of Beta distribution.(2) Fitting parameters of many kinds of typical distribution and using residual deviation to evaluate fitting precision.(3) Using Beta distribution as an agreed indication distribution applied to many kinds of practical photoelectric measurement distributions.(4) Deriving theory formula of Bayes point estimation about Beta distribution parameters and mean value and standard deviation on the condition of mean square error loss function and supposed the prior distribution is uniform distribution.(5) Generating MCMC sample from post distribution by the method of Gibbs sample algorithm. Calculating bayes point estimation from sample on the condition of mean square error loss function. Calculating confidence interval by an approximate method to complete interval estimation.

本文的主要工作有:(1)解决了Beta分布参数a和b的精确计算以及均值、标准差、偏度、峰度的计算问题;(2)拟合出10余种典型分布的Beta分布的两个参数,并且采用剩余标准差评价该Beta分布的拟合精度;(3)对多种典型的光学与光电测量系统的测量分布进行了Beta分布统示表示;(4)在假设先验分布为均匀分布前提下,得到参数a和b以及均值μ和标准差σ在均方误差损失函数下的贝叶斯点估计理论计算公式;(5)利用直接抽样的Gibbs抽样算法,从后验分布中产生MCMC样本,从样本直接计算均方误差损失函数下的贝叶斯点估计,并使用一种近似方法计算其置信区间,完成区间估计。

The measurement system error model analysis is introduced into power system real time network state analysis as an important part for the first time, which can improve on the state estimation quality and provide the capability to monitor the operation of the measurement system; 2. The theory and algorithm of the on-line estimation and update of measurement noise variance based on the relation between the residual variance and noise variance. The statistic properties of the sample variance are discussed and the relation between the estimation precision and sample size under given confidence level is derived; 3. The theory and algorithm of detection and identification of measurement bias are presented, which is based on the relation between residual mean and noise mean. The statistic properties of sample mean are discussed and the relation between estimation precision and sample size is derived; 4. The Givens orthogonal transformation algorithm is selected to be the essential algorithm of state estimation, the fast orthogonal transformation algorithm with damp factor and the algorithm which can handle the zero injection measurements efficiently are presented; 5. The quantity analysis theory of bad data detectivity and identifibility are presented, which describes the relation between the elements in matrix W〓 and bad data amplitude and can provide the theory base for measurement system design and valuation.

一、首次将量测系统误差模型分析做为一个环节引入电力系统实时网络状态分析中,为EMS系统增加了实时监视系统运行、修正量测系统误差模型的新功能,进一步发挥了实时网络状态分析应用软件的潜力;二、首次提出了应用样本方差在线估计与修正量测系统误差方差的基本理论,讨论了样本方差的统计性质和概率分布,推导出了样本容量、估计精度和置信度之间的关系,给出了在线估计与修正量测系统误差方差的算法;三、首次提出了应用样本均值在线检测与辨识量测偏差的基本理论,讨论了样本均值的统计性质,推导了样本容量、估计精度和置信度之间的基本关系,给出了在线检测与辨识量测偏差的算法;四、在状态估计算法设计中,以Givens变换算法做为基本算法,提出了快速正交变换阻尼因子法和可以有效地处理零注入量测的混合法,并对实时应用中的一些问题进行了讨论;五、提出了不良数据可检测性与可辨识性的定量分析理论,揭示了描述量测系统配置、网络结构与参数的残差灵敏度矩阵中的元素与不良数据的幅值在可检测、可辨识能力上的定量关系,为量测系统配置设计与评价提供了理论基础;六、综合国内外最新研究成果,采用自适应自回归预测技术和稀疏矢量技术,构造了较完善的不良数据检测与辨识算法。

Acquired conclusion was that the sample mean value submitted to normal distribution, and the sample variance was composed of a number of linear sum of random variable submitted to Chi-Squared distr.

得出的结论是:样本均值服从正态分布,样本方差由若干个服从卡方分布的随机变量的线性之和组成;样本均值的期望等于各管落点期望的算术平均值,方差为各管方差的算术平均值;样本方差是各管落点总体平均方差的无偏估计,方差与各管落点散布的差异相关;样本均值与方差相互独立的充要条件是:各管落点属于独立同分布样本。

The "exact" approach entails deriving a formula for the sampling distribution that holds exactly for any value of n.

"准确"方式需要对任何n的取值都得到样本分布的精确表达式。

Fisher criterion assumes that each sample has a unimodal,symmetric distribution for each class.However,when the training sample size is large and their distributions are multimodal or skewed,the definition of classical Fisher criterion can not correctly reflect the distribution of the data in the sample space,in that case,the sets of discriminant vectors are not optimal virtually.

Fisher准则函数的前提条件就是假设每类样本数据满足单峰高斯分布,即各类样本在模式空间的分布近似椭球状,但是当训练样本数据较多且呈多峰分布时,传统的Fisher准则函数并不能准确反映样本数据的分布,显然基于Fisher准则函数的线性判别分析得到的最优判别矢量集也不是最优的。

Research results indicate that generalization ability and learning accuracy are the non-decreasing function of weight adjusting ratio.

研究 结果表明,在样本分布和量化级数不变时,泛化均方差和学习均方差是权调整率的非增函数。

The 29 F globular clusters in the galaxy are selected as samples in my paper (The space distribution and motional orbits of the samples have not been researched in detail before.).According to the basic parameters: azimuth coordinates, distances from the sun, radial velocities and proper motions of sample clusters, the initial positions and velocities of the samples are reduced using the galactic coordinates, and their orbits are integrated by numerical method for three different galactic gravitational potential models.

本文选用银河系中29个累积光谱型为F型的球状星团作为样本(这些样本星团的空间分布和运动特征都没有被详细地讨论过),根据它们的基本资料:方位坐标、日心距、视向速度,绝对自行等参数,归算处理得出了各样本星团的空间分布和运动速度。

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