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.

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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.

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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.

研究了各類作圖群體的QTL效應及互作檢測的方差分析法se视频在线观看，推導出了其各種方差分析中方差分量的生統(tǒng)遺傳學期望成年人在线观看。

A method for heteroscedastic analysis is presented, which includes the homoscedastic and the heteroscedastic analysis of different means.

提出一種異方差分析方法，包括異均值方差分析和異均值異方差分析亚洲综合久久综合激情久久。

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.

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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.

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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.

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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.

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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.

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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.

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Oneway ANOA：單因素方差分析

One-way analysis of ariance, 單因素方差分析 | Oneway ANOA , 單因素方差分析 | Open sequential trial, 開放型序貫設計

Analysis Covariance：協(xié)方差分析

3 Activity 活動 | 4 Analysis Covariance 協(xié)方差分析 | 5 Analysis of Variance 方差分析

multivariate analysis of variance：多變量方差分析

multivariate analysis of covariance 多變量協(xié)方差分析 | multivariate analysis of variance 多變量方差分析 | Multivariate Behavior Research 多變量行為研究

multivariate analysis of covariance：多變量協(xié)方差分析

multivariate analysis 多變量分析 | multivariate analysis of covariance 多變量協(xié)方差分析 | multivariate analysis of variance 多變量方差分析

one-way ANOVA：子菜單項 一維方差分析(單變量方差分析)

......Paired Sample T test子菜單項 配對樣本的T檢驗 | ......One-Way ANOVA子菜單項 一維方差分析(單變量方差分析) | ANOVA Models菜單項 多元方差分析過程

variance analysis：方差分析

在簡單的方差分析(variance analysis)和協(xié)方差分析(covariance analysis)中,通常是在并不充分的條件下進行模型假設. 如果觀察到一些離群值(outlying values),那么應關注這些不是協(xié)變量就是主要變量的極端離群值,然后用其它方法來評估結(jié)論的穩(wěn)健性.

Mean variance analysis：均方差分析:同時應用均值和方差來做決策的決策方法

Expected Value Rule 期望值法:選擇具有最高期望值的決... | Mean-Variance Analysis 均方差分析:同時應用均值和方差來做決策的決策方法. | Coefficient of Variation Rule 離差系數(shù)法:選擇具有最小離差系數(shù)決策的決...

variance analysis table：方差分析表

variance analysis 方差分析 | variance analysis table 方差分析表 | variant 變異體

ANOVA Models：菜單項 多元方差分析過程

......One-Way ANOVA子菜單項 一維方差分析(單變量方差分析) | ANOVA Models菜單項 多元方差分析過程 | ......Simple Factorial子菜單項 因子設計的方差分析

ANOVA Models：多元方差分析過程

One-Way ANOVA子菜單項 一維方差分析(單變量方差分析) | ANOVA Models 多元方差分析過程 | Simple Factorial 因子設計的方差分析