- 更多网络例句与方差分析相关的网络例句 [注：此内容来源于网络，仅供参考]
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NMath Stats contains a data table class with functions for computing descriptive statistics, such as mean, variance, standard deviation, percentile, median, quartiles, geometric mean, harmonic mean, RMS, kurtosis, skewness, and many more; PDF, CDF, inverse CDF, and random variable moments for a variety of probability distributions, including normal, Poisson, chi-square, gamma, beta, Student's t, F, binomial, and negative binomial; Combinatorial functions, such as factorial, log factorial, binomial coefficient, and log binomial; Multiple linear regression; Basic hypothesis tests, such as z-test, t-test, and F-test, with calculation of p-values, critical values, and confidence intervals; One-way and two-way analysis of variance and analysis of variance with repeated measures; Multivariate statistical analyses, including principal component analysis and hierarchical cluster analysis.
nmath统计包含一个数据表的阶层与职能计算描述性统计，如平均，方差，标准差，百分位，中位数， 25 ％，几何平均数，调和的意思是，有效值，峭度，偏度，还有更多的； PDF格式，民防部队，逆民防部队，并随机变量矩的各种概率分布，包括正常，泊松，卡方检定，伽玛，测试版，学生的吨，男，二项式，并负二项分布；组合的功能，例如阶乘，日志阶乘，二项式系数，并登入二项式；多元线性回归；基本假设测试，如的Z测试， t检验， F检验，计算p值，临界值，和置信区间；之一，双向和双方法方差分析和方差分析与反复的措施；多元统计分析，包括主成分分析和聚类分析。
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Chapter six presents such new concepts as margin utility contribution force, profit-risk exchange rate, state-expectation-variance utility function, long-term expectation-variance utility curve and optimal portfolio expansion curve. The state-expectation-variance analytical method is developed from the expectation-variance analytical method. The changing rate of profit-risk exchange rate to state variable is used to define and distinguish the decreasing, constant and increasing relative risk aversion. A decomposition formula about the margin contribution force of holding wealth to state-expectation-variance utility function is displayed. The decomposition formula demonstrates that the contribution force of investors' holding wealth to their utility is composed of the pure contribution force of holding wealth and the investment contribution force bronght about through investment portfolio.
第六章提出了边际效用贡献力、收益—风险替换率、状态—期望—方差效用函数、长期期望—方差效用曲线、最优证券组合扩展线等新概念；把期望—方差分析方法发展成状态—期望—方差分析方法；用收益—风险替换率对状态变量ω的变化率来定义和区分递减、定常、递增相对风险厌恶；获得了持有财富对状态—期望—方差效用函数的边际贡献力的分解式，该分解公式表明投资者的持有财富对他的效用的贡献力由持有财富本身的纯贡献力和持有财富通过投资证券组合所产生的投资贡献力所组成。
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ANOVA for detecting QTL effect and epistasis was studied. The statistic and genetic expectations of various variance components in different ANOVA were deduced.
研究了各类作图群体的QTL效应及互作检测的方差分析法，推导出了其各种方差分析中方差分量的生统遗传学期望。
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A method for heteroscedastic analysis is presented, which includes the homoscedastic and the heteroscedastic analysis of different means.
提出一种异方差分析方法，包括异均值方差分析和异均值异方差分析。
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A sample of 480 Chinese adolescents and 115 juvie aged 13-18 was investigated with series of Chinese transitions of measures, including the revised Ego Identity Status Questionnaire(EOMEIS-2) and Adolescent's Social Adaptive Behaviors Questionnaire. Results indica ted:1. For the adolescents, the distributions of ego identity statuses, whether in the ideological, interpersonal or total domain, are unbalanced.
首先，通过问卷预测，对问卷进行修订和信效度的检验，再以修订后的问卷正式施测，然后运用卡方检验和方差分析探讨同一性状态和社会适应性行为的发展特征，最后通过方差分析考察同一性状态和社会适应性行为的各个层面的关系。
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In order to reduce calculation error, the frequency distribution of average values is used to compute the mixed distribution's digital features of each component distribution, thereinto, the number of the component distribution is determined by AIC, choose the number that meets the minimum value of AIC as the component number of mixed distribution, and the other parameters are estimated by EM algorithm; Secondly, because each component distribution is corresponding to a kind of major gene genotype, according to the values of the average and variance of the each component distribution, we can use the limit error of the normal distribution to plot each individual into the correspondent component distribution, namely into correspondent major gene genotype. Then we regard each major gene genotype as a treatment level of one-way analysis of variances, and the one-way multivariate analysis of variance is carried out to calculate the covariance matrix of major gene effect, covariance matrix of polygene effect, covariance matrix of environment effect and so on; At last, combining the weights of the each component distribution of mixed distribution, we can calculate the variance of major gene effect, the variance of polygene effect, environmental variance and the genetic gain of the quantitative trait.
为减小计算误差，本研究采用均值的频数分布来计算各成分分布的数字特征，其中成分分布个数根据AIC准则，选择使AIC值达到最小的成分分布个数作为混合分布的成分分布数，分布中其它参数的确定利用EM算法来估计；其次，每个成分分布对应一种主基因基因型，根据各个成分分布的均值和方差，利用正态分布的极限误差将每个个体划分到相应的成分分布中，即相应的主基因基因型中，将每种主基因型作为单因素方差分析的一个处理水平，对其进行单因素的多元方差分析，分别计算主基因效应协方差阵、多基因效应协方差阵、环境协方差阵等参数；最后结合混合分布中各成分分布的权重即各主基因基因型的分离比例，计算主基因效应方差，多基因效应方差和环境方差，以及遗传力等参数，进而计算该数量性状的遗传进展。
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Firstly, normal mice was given orally by SM(qd×2d), and the dysbacteriosis were caused in them ,and then they were given orally by STM,these mice were formed experimental salmonellosis models ,finally these salmonellosis models were treated by bifidobacterium ,and count respectively the cfu/g of STM number in the mice excrement during different time of therapy,detect the index numbers of liver and spleen respectively, detect content of TNF-a in blood and in spleen respectively.
先用硫酸链霉素给正常小鼠灌胃2d，出现菌群失调症状，再用STM灌胃造成小鼠STM感染，使用两岐双岐杆菌液干预治疗STM感染小鼠，检测不同治疗时间各组小鼠粪便STM菌落数、肝脾指数、血及脾中TNF-a的含量。采用SPSS12.0统计软件包进行数据处理分析，统计学方法采用双因素重复测量资料的方差分析、单因素随机化设计的方差分析、卡方检验、多组均数比较的非参数秩和检验。结果：随着治疗天数的增加，STM菌落数逐渐减少，未干预组、生理盐水组及双歧杆菌组比较结果均为P＜0.01；组间比较，双歧杆菌组STM数下降最快。
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In other words, on the basis of known low space resolution multi-spectral image and high space resolution panchromatic spectral image, it will simulate to create high space resolution multi-spectral image.
针对这一应用目的，本文在对现有的定性定量指标分析的基础上，设计了一组适合本文的评价标准，就是在目视判读的基础上，采用平均梯度和小波能量分析融合影像和原始未降解的多光谱影像的空间分辨率差异，采用标准方差、标准偏差和协方差矩阵行列式值分析融合影像和原始未降解的多光谱影像的信息差别，采用均值、中值和归一化最小方差分析融合影像的光谱信息保持程度。
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Meanwhile, result comes out that seven fossil samples are mostly evergreen Araucarioxylon, deciduous species prapably exists, but their fixed numbers of growing year are extraordinarily variant; Analysis of ariance indicates that, imposing ray cells, radial tracheid diameters-, the ratios of ray cells to radial tracheid diameters on distinguishing seven samples is doable as a whole, while not fitting for individuals.
经方差分析可以看出，利用射线直径、管胞直径和射线管胞比可以在总体上区分各标本，但对个别样本不适用；射线高度这一性状在各标本间差别很小，不能区分；结果认为：标本2和标本6的性状最相近，为相同的种类；标本1、4、7可能为同一属；对方差和CSDM曲线的综合分析认为，标本1、3、6的生长年限存在一定的区别，可能导致在方差分析上出现些许误差。
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This paper presents the portfolio selection problem of two-attribute money and creates a model of portfolio selection based on two-attribute money, which can both contain the existing portfolio models and overcome the above-mentioned deficiencies. A series of new concepts is put forward, such as, holding wealth, obtainable wealth, short-term utility function, short-term expectation-variance utility function, state-expectation-variance utility function, short-term expectation-variance utility curve, long-term expectation-variance utility curve, margin utility contribution force, additional contribution force, profit-risk exchange rate and optimal portfolio expansion curve; The state-expectation-variance analytical method is developed from the expectation-variance analytical method; A set of systematic theories concerning two-attribute portfolio selection is thus established.
本文提出了两属性货币的证券组合选择问题；创建了既能包含现有证券组合选择模型又能克服上述两点不足的两属性证券组合选择模型；提出了持有财富、可获财富，短期效用函数，短期期望—方差效用函数、状态—期望—方差效用函数，短期期望—方差效用曲线、长期期望—方差效用曲线，边际效用贡献力，附加贡献力，收益—风险替换率，最优证券组合扩展线等一系列新概念；把期望—方差分析方法发展成状态—期望—方差分析方法；建立了两属性证券组合选择模型的一套系统的理论。
- 更多网络解释与方差分析相关的网络解释 [注：此内容来源于网络，仅供参考]
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Oneway ANOA：单因素方差分析
One-way analysis of ariance, 单因素方差分析 | Oneway ANOA , 单因素方差分析 | Open sequential trial, 开放型序贯设计
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Analysis Covariance：协方差分析
3 Activity 活动 | 4 Analysis Covariance 协方差分析 | 5 Analysis of Variance 方差分析
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multivariate analysis of variance：多变量方差分析
multivariate analysis of covariance 多变量协方差分析 | multivariate analysis of variance 多变量方差分析 | Multivariate Behavior Research 多变量行为研究
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multivariate analysis of covariance：多变量协方差分析
multivariate analysis 多变量分析 | multivariate analysis of covariance 多变量协方差分析 | multivariate analysis of variance 多变量方差分析
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one-way ANOVA：子菜单项 一维方差分析(单变量方差分析)
......Paired Sample T test子菜单项 配对样本的T检验 | ......One-Way ANOVA子菜单项 一维方差分析(单变量方差分析) | ANOVA Models菜单项 多元方差分析过程
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variance analysis：方差分析
在简单的方差分析(variance analysis)和协方差分析(covariance analysis)中,通常是在并不充分的条件下进行模型假设. 如果观察到一些离群值(outlying values),那么应关注这些不是协变量就是主要变量的极端离群值,然后用其它方法来评估结论的稳健性.
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Mean variance analysis：均方差分析:同时应用均值和方差来做决策的决策方法
Expected Value Rule 期望值法:选择具有最高期望值的决... | Mean-Variance Analysis 均方差分析:同时应用均值和方差来做决策的决策方法. | Coefficient of Variation Rule 离差系数法:选择具有最小离差系数决策的决...
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variance analysis table：方差分析表
variance analysis 方差分析 | variance analysis table 方差分析表 | variant 变异体
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ANOVA Models：菜单项 多元方差分析过程
......One-Way ANOVA子菜单项 一维方差分析(单变量方差分析) | ANOVA Models菜单项 多元方差分析过程 | ......Simple Factorial子菜单项 因子设计的方差分析
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ANOVA Models：多元方差分析过程
One-Way ANOVA子菜单项 一维方差分析(单变量方差分析) | ANOVA Models 多元方差分析过程 | Simple Factorial 因子设计的方差分析