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marginal distribution density function相关的网络例句

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Unit 22 400vac low voltage distribution pen busbar unit 22 400vac low voltage distribution cubicle lighting.plug and heating unit 22 400vac low voltage distribution measuring and ac-distribution unit 22 400vac low voltage distribution 220vdc control2 unit 22 400vac low voltage distribution control circuit breaker unit 22 400vac low voltage distribution automatic interconnection2 unit 22 device list unit 22 400vac low voltage distribution cubicle lighting.plug anh heating unit 22 400vac low voltage distribution ac/dc supply control unit 22 400vac low voltage distribution cb supply 1 control unit 22 400vac low voltage distribution cb coupling control unit 22 400vac low voltage distribution cb supply 2 control unit 22 400vac low voltage distribution cb supply 1 control unit 22 400vac low voltage distribution control unit 22 400vac low voltage distribution high pressure pump.bearing de control unit 22 400vac low voltage distribution stillstand heaters control control unit 22 400vac low voltage distribution oil mist suction device de control unit 22 400vac low voltage distribution h press pu.bearing de stand-by control unit 22 400vac low voltage distribution oil mist suction device nde control unit 22 400vac low voltage distribution indication unit 22 400vac low voltage distribution automatik input unit 22 400vac low voltage distribution circuit diageam unit…400vac low voltage distribution front view unit…400vac low voltage distribution inside view unit…400vac low voltage distribution cubicle view gauge board cover sheet gauge board front view gauge board inside layout gauge board fower supply gauge board cubicle lighting/heating gauge board 24vdc distributidn gauge board fault indication lamps gauge board fault messages to control gauge board temperatures thrust bearing gauge board temperatures de/nde guiide bearing gauge board temperatures de/nde bearing oil reservoir gauge board temperatures cold air from coolers gauge board display temperatures cooler 1-10 gauge board display temperatures cooler 11-20 gauge board temperatures hot air from coolers gauge board display tem.

单位 22 400 vac 低的电压分配钢笔 busbar单位 22 400 vac 低的电压分配小卧室 lighting.plug 和暖气单位 22 400 vac 低的电压分配测定和 ac-分配单位 22 400 vac 低的电压分配 220 vdc control2单位 22 400 vac 低的电压分配控制线路断路器单位 22 400 vac 低的电压分配自动机械 interconnection2单位 22本装置目录单位 22 400 vac 低的电压分配小卧室 lighting.plug anh 暖气单位 22 400 vac 低的电压分配 ac/直流补给控制单位 22 400 vac 低的电压分配 cb 补给 1 控制单位 22 400 vac 低的电压分配 cb 联结控制单位 22 400 vac 低的电压分配 cb 补给 2 控制单位 22 400 vac 低的电压分配 cb 补给 1 控制单位 22 400 vac 低的电压分配控制单位 22 400 vac 低的电压分配高度强迫 pump.bearing de 控制单位 22 400 vac 低的电压分配 stillstand 加热器控制控制单位 22 400 vac 低的电压分配油雾吸装置 de 控制单位 22 400 vac 低的电压分配 h 杂志报纸 pu.bearing de 台子-被控制单位 22 400 vac 低的电压分配油雾吸装置 nde 控制单位 22 400 vac 低的电压分配指示单位 22 400 vac 低的电压分配 automatik 输入单位 22 400 vac 低的电压分配线路 diageam单位…400休假低的电压分配前面视野单位…400休假低的电压分配内部看单位…400休假低的电压分配小卧室视野精确计量董事会掩护张精确计量董事会比较前面的视野标准度量在地面区划之内搭乘标准度量董事会 fower 补给标准度量董事会小卧室照明/暖气标准度量董事会 24 vdc distributidn标准度量董事会过失指示灯精确计量董事会过失信息控制标准度量董事会温度插入了举止标准度量董事会温度 de/ nde guiide 举止生的标准度量董事会温度 de/ nde 涂油水于水库标准度量董事会来自冷却器的温度冷空气精确计量董事会展览温度冷却器 1-10精确计量董事会展览温度冷却器 11-20标准度量董事会来自冷却器的温度热气精确计量董事会展览 tem。

The fiber length has only little influence on the basic density within the growth rings, and significant correlation at 0.01 levels was found between the basic density and the fiber length among the different rings. Only slight negative correlation was found between the basic density and the fiber width within the growth rings, but significant positive correlation at 0.01 levels was indicated between the basic density and the fiber width among the growth rings, contrary to that of fiber length. It was demonstrated that significant positive correlations at 0.01 levels between the basic density and fiber double wall thickness, fiber length to width ratio and double wall thickness to diameter ratio, significant negative correlations at 0.01 levels between the basic density and fiber diameter and diameter to width ratio, only slight negative correlation between the basic density and fiber width both in the same growth rings and among the different growth rings. No significant correlation was found between the basic density and the vessel morphological features, nor was the tissue proportion in the same growth rings. But among the different rings, it was found there was significant positive correlation at 0.01 levels between the basic density and the fiber proportion among the different rings, and significant negative correlation at 0.01 levels between the basic density and vessel-elements proportion and ray proportion, only slight negative correlation between the basic density and the parenchym proportion. Significant or no significant negative correlation was found between the basic density and the microfibril angle in the same growth rings, but significant negative correlation was found between the basic density and the microfibril angle among the different growth rings.

生长轮内纤维长度对基本密度的影响不大,而在不同生长轮间纤维长度与基本密度达极显著正相关,纤维宽度与此相反,同一生长轮内纤维宽度与基本密度极显著负相关,不同生长轮间只有微弱负相关;基本密度与纤维双壁厚、长宽比、壁腔比在生长轮内和生长轮间均呈极显著正相关,而与胞腔直径、腔径比均呈极显著负相关,仅与纤维宽度呈微弱的负相关;导管形态对基本密度的影响不显著;同一生长轮内组织比量对基本密度的影响也不显著,但不同生长轮间基本密度与纤维比量呈极显著正相关,与导管比量和木射线比量呈极显著负相关,与轴向薄壁细胞比量仅呈不显著负相关;生长轮内基本密度与微纤丝角呈显著或不显著负相关,但在生长轮间这种负相关达到极显著水平。

I have calculated the species diversity for 3 layers (i.e. tree layer, shrub layer and herb layer) by means of various biodiversity index formulas and analyzed the relative species abundance using 9 models of the probability density distribution functions, such as, 3 Distribution (or Beta Distribution, Weibull Distribution, Lognormal Distribution, Poisson Distribution, Binomial Distribution, Negative Binomial Distribution ,Geometric Distribution, etc.. chi-square analyses were conducted on species distribution by using the chi-square test formulated by Pearson to test which distribution function is better, the result of chi square test made it possible to reject the other 8 distribution functions, theβdistribution function performs better than other probability density functions, it has a very close approximation, which can be used for the description of relative abundances of species in forest communities in this data set.

在相对多度研究上选用了九种概率分布模型,这九种概率密度分布函数依次为:贝塔分布、Weibull分布、对数正态分布、泊松分布、二项分布、负二项分布、几何分布、对数分布和奈曼A型分布,并进行了严格的卡方检验,结果表明:其它八种分布均被遭到拒绝,只有贝塔分布获得了通过,且拟合的结果非常理想。

Optical density d of the material or the density of photographic film itself d field part of density d the density of the deep and change some of the most high density (h-red, green, or blue channels in maximum density) L intermediate density density (red, green, or blue channels in minimum density) M minimum density (red, green, or blue channels in the middle of the density) T transmission 4.2Murray-Davies formula in the measurement of surface films, film dot business card printing and membership card making dot area usually is the most important parameters.

光学密度 D 材料或片基本身的密度 D 实地部分的密度 D 深浅变化部分的密度 H 最高密度(红,绿或蓝通道的最大密度) L 中间密度密度(红,绿或蓝通道的最小密度) M 最低密度(红,绿或蓝通道的中间密度) T 透射率 4.2Murray-Davies公式在测量胶片的表面网点面积时,胶片制卡和会员卡制作网点面积通常是最重要的参数。

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。

To further understand and correctly master the notion of marginal spectrum in Hibert-huang transform, the linear property of marginal spectrum is demonstrated, an mistake to the notion of marginal spectrum in some documents is pointed out, and a new viewpoint about the essential difference between marginal spectrum and Fourier frequency spectrum is put forward by which the amplitude of Fourier frequency spectrum only represents the probability that a frequency objectively exists in a signal while the amplitude of marginal spectrum decides whether a frequency objectively exists in a signal.

为了深入理解和正确掌握希尔伯特-黄变换(Hilbert-Huang Transform,简称HHT)中的边际讲概念,证明了边际谱的线性性质,指出了文献中对边际谱概念的一种误解,提出了边际普与Fourier频谱之间本质区别的一种的新观点,即Fourier频谱的幅值只能反映频率在信号中实际存在的可能性大小,而边际谱的幅值则能真实反映频率在信号中是否存在。

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。

Bamboo variation ofmicrodensity of all age-degree and all height bamboo from bamboo green tobamboo yellow as follows:The downtrend ladder of microdensity the firststage from bamboo green to bamboo yellow is relatively large,normally at theplace 0.35 from bamboo hull(the thickness of from bamboo hull to bambooyellow is 1)micro-density downtrend ladder begin to get smaller,variancerange of microdensity is smaller.When reaching near bamboo yellow area,microdensity reaches its minimum value,and when reaching bamboo yellowsection density increase rapidly,the minimum density of bamboo is only 50% orless of maximum density.Bamboo yellow is comprised of stone cells whichhave thick cell wall,so its density is high,normally 50% to 100% more thanminimum density.Bamboo yellow′s lay thickness is thin,normally the samethickness for all age-degree and all height bamboo,about 0.8mm.From 1 age-degree bamboo to 2 age-degree bamboo during growth,the increase of averagedensity is mainly in bamboo pulp section,from 3 age-degree bamboo to 4 age-degree bamboo,the decrease of average density is mainly decrease in the pulpsection.Same age,same height,the less the density ladder of bamboo radialthickness,the higher the mechanical strength.

所有年龄所有高度的竹材微密度从竹青到竹黄对材性变异规律如下:从竹青到竹黄开始下降梯度较大,一般到相对竹皮距离0.35左右处(整个竹壁厚度为1),竹材微密度下降梯度减小,微密度的变化范围变小,到近竹黄处,微密度达最小值,而后到竹黄部位密度大幅上升,竹材最小密度一般只有最大密度的50%或更低,竹黄由厚壁的石细胞组成,所以密度较大,一般比最小密度增大约50%-100%,厚度较薄,不同年龄不同高度竹材的竹黄厚度相差无几,约在0.8mm左右;竹材从1度竹到2度竹生长过程中,平均密度的增长主要发生在竹肉部分,从3度竹到4度竹生长过程中,平均密度的下降主要发生在竹肉部分,同一年龄同一高度,竹壁厚径向的密度梯度越小,力学强度越高,随着年龄的增大,密度梯度越来越小(1度竹除外),随着高度增加,密度梯度越来越大。

Based on the theory of marginal analysls, thls paper presents two methods for calculating the marginal cost of stimulation, which are suitable for both cases with rich practical data and without practical data, and according to the principle of marginal cost equivalent to marginal benefit, puts forward the marg...

根据边际分析理论,提出了两种计算增产措施边际成本的方法,分别适合于实际资料丰富和缺乏的情况;并根据边际成本等于边际效益的原则,确定出老区增产措施的边际价格以及在现行价格体系下各项措施的取合条件。

Finishing calculation of mean value, standard deviation, skewness, kurtosis of Beta distribution.(2) Fitting parameters of many kinds of typical distribution and using residual deviation to evaluate fitting precision.(3) Using Beta distribution as an agreed indication distribution applied to many kinds of practical photoelectric measurement distributions.(4) Deriving theory formula of Bayes point estimation about Beta distribution parameters and mean value and standard deviation on the condition of mean square error loss function and supposed the prior distribution is uniform distribution.(5) Generating MCMC sample from post distribution by the method of Gibbs sample algorithm. Calculating bayes point estimation from sample on the condition of mean square error loss function. Calculating confidence interval by an approximate method to complete interval estimation.

本文的主要工作有:(1)解决了Beta分布参数a和b的精确计算以及均值、标准差、偏度、峰度的计算问题;(2)拟合出10余种典型分布的Beta分布的两个参数,并且采用剩余标准差评价该Beta分布的拟合精度;(3)对多种典型的光学与光电测量系统的测量分布进行了Beta分布统示表示;(4)在假设先验分布为均匀分布前提下,得到参数a和b以及均值μ和标准差σ在均方误差损失函数下的贝叶斯点估计理论计算公式;(5)利用直接抽样的Gibbs抽样算法,从后验分布中产生MCMC样本,从样本直接计算均方误差损失函数下的贝叶斯点估计,并使用一种近似方法计算其置信区间,完成区间估计。

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You are asking for the moon.

你的要求太过分了。