查询词典 F test

The common method, that all strong-correlation terms of the model are eliminated, can bring the loss in the engineering application, so the new method is proposed that the identified model reserves some correlation. The augmented matrix A is constructed by the outputΔW and the matrix S. The"determinating order based on ratio of determinant"is brought out to screen the strong-correlation terms in the structure identification. The latent root estimation is improved in screening the eigenvalues and eigenvectors. Thus the estimation precision is improved greatly.The consistence check of guidance instrument error coefficients of flight test and ground test is the purpose of flight experiment. The causes of inconsistency of the two models are analyzed. The hypothesis test of linear regression model based on F statistics is proposed to check the consistence.Finally, the instability of error coefficients is probably caused by the change of the flight environments, therefore, the relation between the error coefficients and flight environment is analyzed. The approach is presented to identify SINS guidance instrument error models and compensate the error in the segmented sections corresponding to the change of vertical acceleration of aircraft.

在结构辨识中，常用的方法由于将模型中的强相关项全部剔除而给工程应用带来损失，因此，本文提出了新的有益思想，即在保留一定相关性的基础上进行辨识：将输出向量ΔW与环境函数矩阵S构成增广矩阵A，然后采用"比定阶行列式"来剔除相关向量的方法，这样既可以尽可能多地保留了对落点影响大的强相关参数，又可以对落点影响小的强相关参数给予剔除；在参数估计中，改进了特征根估计中特征根和特征向量的筛选方法，提出"近零"准则，从而大大提高了参数估计的精度；再者，鉴于天地模型"一致性"检验是飞行试验和SINS制导工具误差系数分离的主要目的，因此，本文又深入分析了造成天地模型不一致的原因，提出了采用基于F统计的线性回归模型假设检验方法来进行捷联制导工具误差模型的天地"一致性"检验；最后，鉴于飞行环境剧烈变化可能会对惯性仪表误差系数稳定性带来一定的影响，因此本文深入地分析了SINS制导工具误差系数与外界环境的关系，提出了基于过载变化大小的分段辨识和分段实时补偿的算法。

Events,Operation and Relation of Sets, Classical Probability, Geometrical Probability , Statistical Stability of a Frequency, Axioms of Probability, Conditional Probability, Total Probability Theorem, Bayes' Rule,Independent Events,Independent Repeated Trials, One Dimensional Random Variables, Discrete Random Variables, Distribution Function of a Random Variables , Continuous Random Variables, Normal Distribution, Distribution of a Function of a Random Variable, Multidimensional Random Variables, Joint Distribution Function, Marginal Distribution Function,Discrete Two—Dimensional Random Variables,Continuous Two—Dimensional Random Variables, Independent Random Variables, Distribution of Functions of Random Variables,Expectation,Variance, Covariance, Coefficient of Correlation, Bivariate Normal Distribution, Law of Large Numbers, The Central Limit Theorems, Sample and Population ,Chi—Squared, T and F Distributions , Sampling Distributions , Point Estimation , Interval Estimation , Testing Hypotheses , A Test of Significance for Parameters in a Single Sample From a Normally Distributed Population , A Test of Significance for Parameters in Two Sample From Normally Distributed Populations .

本课程的主要内容：概率的概念与运算、随机变量及其分布、随机变量的数字特征与极限定理、数理统计的基本概念、估计和检验的基本方法，随机事件与概率随机事件、事件的关系与运算、几何概率、统计概率等，条件概率、全概率公式、贝叶斯公式、事件的独立性、二项概率公式，随机变量的概念、离散型随机变量、随机变量的分布函数、连续型随机变量、随机变量函数的分布，多维随机变量及其分布函数、边缘分布函数、随机变量的独立性、二维随机变量函数的分布，数学期望、方差、协方差和相关系数、大数定律、中心极限定理，总体与样本， X 2-分布、 t-分布和 F-分布，统计量及抽样分布，假设检验的基本概念、单个正态总体参数的显著性检验、两个正态总体参数的显著性检验。

For testing the second hypothesis, the method of correlation, partial correlation analysis, regression analysis and path analysis was used, then F test was used to compare among groups.

为论证第二个假设，本文所采用的统计方法有相关及偏相关分析、回归分析及路径分析，并在各变量分组后采用F检验方法对各组进行了比较。

The general correlations for j and f factors were derived by regression analysis and F significance test,and the correlations had a RMS error of ±10%.

同时通过对16种翅片的244个试验数据点进行多元回归和F显著性检验，获得了j因子和f因子的经验关联式。

This thesis is followed by H Hertz confirmed by F-test.

这一论断随后为H赫兹的F实验所证实。

It is antinomy to analysis factor effects according to first and second order term index of quadratic polynomial,so this paper put forward a new method to explain and evaluate factor effect by F test based on partial regression sum of squares.

传统的二次多项式回归方程在依系数正负、大小解释各因子效应时，常出现一次项与二次项结果相互矛盾的情形，而一般的SVR模型又不具解释性；本文从偏回归分析定义出发，建立了基于SVR以F测验解释、评价各因子相对重要性的方法。

Out of the 90 eyes, the scotopic F-ERG of 73(81.1%) eyes was non-detectable preoperatively and the number of such eyes decreased to 66(73.3%) postoperatively (P 0.05,t -test). During a 3-22-month follow-up (mean= 10.9±5.1 months, n =45), some waves of F-ERP in RP patients reappeared.

术前在90眼中有73眼(81.1%)的暗视F-ERG为熄灭型，在术后3～22月期间进行复查时，有些曾消失的F-ERG波复现，暗视F-ERG为熄灭型的眼下降至66(73.3%)只(P 。05， t检验)，一些原来残存的F-ERG波的波幅增加，峰潜伏期也缩短。

Chi-square test, F-test and Logistic analysis were used to analyze the data.

采用χ^2检验、F检验和Logistic回归分析进行统计分析。

By means of experiments of marker transfer,acridine orange sensitivity test,F' curring and mini-chromosome transformation it is.conchi-ded that the F' plasmid is always in an integrated state in the Sin strains and that the initiation of the replication of the bacterial chromosome is carrie...

标记转移、吖啶橙敏感性，F′质粒消除和mini-染色体质粒转化等实验说明，Sin菌株中F′质粒始终处于整合状态，并且在40℃中细菌染色体的复制由整合状态的F′质粒所带动。

By means of experim ents of marker transfer,acridine orange sensitivity test,F' curring and mini-chr omosome transformation it is concluded that the F' plasmid is always in an integ rated state in the SIn strains and that the initiation of the replication of the bacterial chromosome is carried on by the integrated F' plasmid.

标记转移、吖啶橙敏感性、F′质粒消除和mini-染色体质粒转化等实验说明，Sin菌株中F′质粒始终处于整合状态，并且在40℃中细菌染色体的复制由整合状态的F′质粒所带动。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。