正态性检验

词组短语

test of normality

与正态性检验相关的网络例句 [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。

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。

These factors were normalized and divided into different degrees according to the probability density function of the normal distribution.

在建模过程中，对每个指标进行了正态化转化和正态性检验，并利用正态分布概率密度函数确立了各指标数年一遇的等级标准。

Normal test by frequence distribution was performed on ALT results, and results distinction between genders was examined by t test.

对ALT结果的频数分布进行正态性检验，性别间结果差异的比较采用t检验。

With the help of SPSS 13.0, Homogeneity of Variances and One-Sample Kolmogorov-Smirnov Test are adopted to examine whether variances are homogeneous and distribution of original data is normal. MANOVA and K-Independent Sample Test are employed to contrast the difference in seven motivation types and motivation intensity among seven gender role identities.

通过数理统计软件(SPSS13.0)对调查数据进行了方差齐性和正态分布检验，利用多元方差、秩次检验法分析了七种性别角色在七种动机类型、动机强度上的差异，定性分析了这种差异对学习成绩产生的影响。

By applying normal testing methods to two different examination papers in this essay, the author obtains the following results: Paper One tallies with normal distribution, indicating that the paper is more reasonable and objective; Paper Two is in the shape of negative skewness and lepmokurtic distribution, showing that the paper is easier than the required and less reasonable.

本文采用数理统计正态性检验法对两份不同的英语试卷考分进行了正态性检验，结果表明：试卷Ⅰ考分的分布服从正态分布，说明其命题难易适当、较为客观、合理；试卷Ⅱ考分的分布呈负偏态、尖峭峰，说明其命题较容易，且不合理。

You want the null hypothesis, that the data are normal, to be true.

这个检验中，你不希望拒绝原假设，而希望证明数据是满足正态性的。

To accord with normal test and anova test, the compare between two groups with T-test, the compare between before and after oneself with Paired comparison.

符合正态性检验和方差齐性检验，两组间比较用t检验，自身前后变化比较用配对t检验。

Based on the telegraph equation, the stochastic model for transmission lines isproposed, and the precise integration algorithm is combined with Monte Carlo method toanalyze the transient response of the stochastic model. Jarque-Bera test is made for thenormality of the model\'s output and the worst-case estimation is given.

基于电报方程建立了互连线的随机模型，结合精细积分算法与蒙特卡洛方法分析了该互连线随机模型的瞬态响应，通过对模型输出信号的正态性进行偏度-峰度检验给出了最差情况估计。

The SPSS program was performed to test normality of the dataset, variance homogeneity between the groups, coefficients of variation and analysis of variance.

对全部杂交信号点的Cy3和Cy5背景信号值，用SPSS软件进行数据转换、正态性检验、方差齐性检验、变异系数分析和重复数据的方差分析。

与正态性检验相关的网络解释 [注：此内容来源于网络，仅供参考]

normal kurtosis：正态峰

normal value 正常值 | normal kurtosis 正态峰 | normality test 正态性检验

One-sided reliability confidence lower limit (Normal distribution complete sample)：正态分布完全样本可靠度单侧置信下限

数据的统计处理和解释 正态性检验 Statisti... | 正态分布完全样本可靠度单侧置信下限 One-sided reliability confidence lower limit (Normal distribution complete sample) | 带警戒限的均值控制图 Control charts...

noll hypOthesis：无效假设,检验假设

normaLitv tcst 正态性检验+nosomctry 患病率 | noll hypOthesis 无效假设,检验假设 | observed unit 观察单位

normality test：正态性检验

normal kurtosis 正态峰 | normality test 正态性检验 | nosometry 患病率

normality test：正规性检验

normality 规度 | normality test 正规性检验 | normalizing selection 正态选择

Parametric test：参数检验

如假设内容涉及同一指标在不同样本组的均值比较,此时进行的是均值齐一性检验(mean test),属于参数检验(parametric test)的范畴,要求数据具有正态或近似正态分布的性质,经常使用的方法有t检验(t-test)和配对t检验(paired t-test).

tabulation method：划记法

t-test t检验 | tabulation method 划记法 | test of normality 正态性检验

test of normality：正态性检验

tabulation method 划记法 | test of normality 正态性检验 | test of one-sided 单侧检验

normality test,test of normality：正态性检验

正态相关normal correlation | 正态性检验normality test,test of normality | 正态总体normal population

normalizing selection：正态选择

normality test 正规性检验 | normalizing selection 正态选择 | nose tongs 鼻钳