不偏样本

词组短语

unbiased sample

与不偏样本相关的网络例句 [注：此内容来源于网络，仅供参考]

This paper is expanded into three main parts to study and analyze the stock time series.1 Through the normality tests, All the sample stock-data curves show different phenomenon of Aiguille and Fat-tail, as well as Left-Deviation, which proves that none of the sample series belong to normal distribution, in other words, the linear method can't be applied into the analysis process, so we adopted the R/S method instead.2 The application of R/S method has verified the long-term memory characteristics of the sample series, and Support Vector Regression is combined to enhance the precision of Average circle period.

文中对股票时间序列从以下三个方面进行了研究和分析：1通过正态性检验，发现各样本股票数据均表现出不同程度的尖峰和胖尾以及左偏现象，证明了所有的样本序列全都不属于正态分布，也就是说明它们不能够适用线性方法进行分析，必须采用重标极差分析方法的非线性方法。2应用R/S分析方法验证他们具有长期记忆的特性，并且结合支持向量回归机提高了测定平均循环周期时的精确性。

This ellipsometric method does not need to rotate the sample azimuthally. The physical parameters of sample are measured under various linear polarized lights through the numerical fitting to its theoretical model. In addition to the orientation of the first layer of nematic liquid crystal is considered, the total phase retardation and twist angle of twist Nematic Liquid Crystal cell are the physical parameters measured by this method.

本论文以椭圆偏极术为基础，在不需转动样本方位角的情况下，以不同偏振方向的线性偏振光入射样本，藉由出射光偏振态的变化，用数值方法拟合出样本矩阵模型参数；我们所量测的样本为扭转式液晶盒，其矩阵模型包含了三个参数：总相位延迟、扭转角及第一层液晶锚定方向。

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。

So, we discuss the asymptotically best linear unbiased estimator for the logistic population based on the selected order statistics, give the pr.

为缓解这一困难，本文讨论利用样本分位数的Logistic总体的近似最佳线性无偏估计，给出估计量的大样本性质，以及样本分位数不超过10情形下，估计量有渐近最大相对估计效率时样本分位数的选取方案等。

1 The reasons there are two main expressions for "population" and "sample"" is that one is "biased estimator and the other is not.

"母体"与"样本"之所以有两种表达公式，是因为一个是有偏估计，另一个则不是。

This paper proposes an algorithm named Small Sample Incremental Biased Learning Algorithm to solve three difficulties of relevance feedback in sketch retrieval, including small sample issue, asymmetry of training data and real-time requirement.

为了解决草图检索相关反馈中小样本训练、数据不对称及实时性要求这3个难点问题，提出了一种小样本增量有偏学习算法。

This article estimates the extreme loss distribution with extreme value theory, estimates the shape parameter with HKKP estimator, which is unbiased to small sample data, selects the right threshold by selecting smallest mean square error of the estimated cumulative distribution function and empirical cumulative distribution function and based on the extreme value theory method, this article estimates the extreme loss distribution and the p-percentile operational loss under certain believe range for Chinese commercial banks, then calculates the operational risk supervise capital.

本文利用极值理论对中国商业银行操作损失极端值分布进行估计，针对尾参数估计的来用传统Hill佑计对小样本数据容易产生偏倚的情况，提出了采用Hill佑计的改进―小样本无偏估计的HKKP佑计来估计操作损失的尾参数，针对由于阈值确定不准确导致结果偏差大的情况，采用最小化估计的累计概率分布与经验累计概率分布平均平方误差的方法确定较精确的阈值，估计出给定置信水平下操作风险损失的分位数，从而使得中国商业银行操作风险监管资本的测定成为可能。

Based on Monte Carlo method,four different weighted function moment methods for Pearson Ⅲ distribution which were developed in China are first compared by using the evaluation standard considering unbiasness and effectiveness of parameters and design values.

利用统计试验方法，以参数及设计值不偏性、有效性为评价标准，比较了现行几种权函数参数估计法，结果与以理想样本还原准则为标准所得的结论截然相反，以不偏性、有效性标准的结论是数值积分权函数法，并未对马秀峰权函数法作出改进，还从理论上比较分析以上两种评价标准，结论是理想样本还原为标准来评判估计方法的优劣存在较大缺陷，建议今后尽量不要使用该标

与不偏样本相关的网络解释 [注：此内容来源于网络，仅供参考]

unbiased estimator：不偏估计数

unbiased estimate 不偏估计 | unbiased estimator 不偏估计数 | unbiased sample 不偏样本

unbiased most powerful test：不偏最强力检定

相关系数的不偏估计量 unbiased estimator of correlation coefficient | 不偏最强力检定 unbiased most powerful test | 不偏样本 unbiased sample

Ridge：脊

因此,人们把在△η方向上的这一长程关联称为"脊"(ridge). 对于脊的产生机制目前尚不清楚仍在探索之中. 在这篇论文中,通过分析RHIC实验上STAR探测器获取的大样本的质心系能量为200GeV金金最小无偏碰撞和中心碰撞数据,

unbiased sample：不偏样本

unbiased estimator 不偏估计数 | unbiased sample 不偏样本 | unbiased statistics 不偏统计量

Random unbiased sample：随机不偏样本

Random start 随机开始 | Random unbiased sample 随机不偏样本 | Random variation 随机变异

random tessellations：随机凸形切割

随机开始 random start | 随机凸形切割 random tessellations | 随机不偏样本 random unbiased sample