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sample interval相关的网络例句

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与 sample interval 相关的网络例句 [注:此内容来源于网络,仅供参考]

Meanwhile, it could be seen that there does not exist a confidence interval with width less than 0.5 because of the property of Poisson distribution. Based on these conditions, the author mainly carried out research into two aspects of this problem as follows. Firstly, by numerical and theoretical analysis, the author compares some existent confidence intervals, for example,"exact" confidence interval, Wald confidence interval and Bayesian confidence interval, and finds some deficiencies points of the confidence intervals, whose modification version has been proposed .Also, several better confidence intervals such asare also presented .Secondly, for given confidence coefficient and interval width, the author constructs a class of asymptotical two-stage interval estimate procedures. At the same time, under varies restriction of confidence coefflcientent interval width, the optional sample size of the first stage has been computed by numerical computation. The numerical computation shows that the method considered in this dissertation have good properties and applied value.

同时,由于Poisson分布的特性,我们知道不存在其参数区间长度小于0.5的置信区间,基于这些情况,我们主要展开了以下两个方面的研究:一是利用数值计算分析与理论分析的方法对现有的若干置信区间如"精确"置信区间,Wald置信区间,Bayes置信区间等进行分析比较,发现了一些缺陷,针对这些缺陷,我们进行适当的修正,并得到几种性质较好的置信区间如:修正大样本区间Jeffreys原则下置信区间二是针对已给定的置信系数与区间长度,我们提出了一种渐近的两阶段区间估计程序,并利用数值计算的方法,在各种置信系数与区间长度限定下,算出了最优的第一阶段观测次数,大量数据表明,本文考虑的方法性态良好,具有应用价值。

Based on the transformation between interval number reciprocal judgment matrix and interval number complementary judgment matrix, this paper proposes the definitions of additive consistency and multiplicative consistency for interval number complementary judgment and correlative definitions as well, and studies the particular proprieties of the consistency interval number judgment matrix. At the same time, it also puts forward a simple algorithm that can judge whether an interval number complementary has the propriety of satisfied transitivity.

利用区间数互反判断矩阵与区间数互补判断矩阵之间的转换关系,给出了乘性一致性与加性一致性区间数互补判断矩阵的定义,并研究了一致性区间数判断矩阵的一些特殊性质;同时给出了区间数互补判断矩阵满意一致性的一个简单的判断方法与算法。

For a given proportion p (where p is the confidence level), a confidence interval for a population parameter is an interval that is calculated from a random sample of an underlying population such that, if the sampling was repeated numerous times and the confidence interval recalculated from each sample according to the same method, a proportion p of the confidence intervals would contain the population parameter in question.

对于一个比例 P而言,一个群体参数的置信区间中的区间是由一个基础群体的随意样本计算出的,假如样本被重复了无数次,置信区间也根据每个样本,以同样的方法重新计算,那么这个置信区间中的比例 P 将要重新定论。

Firstly,the sampling design has great impact on the accuracy of remote sensing classification.There exists great randomicity on the result of points and cluster sample verification on the different Sampling design.On the same sampling design,the stability of point sample verification is higher than that of Cluster sample verification.Secondly,the average accuracy of different sampling designs of multi-point and multi-cluster sample verification can reflect the accuracy characteristic.During the course of point sample verification,stratified sampling's error is lower than others'.During the course of cluster sample verification,systematic sampling and stratified sampling's accuracy are prior to simple random sampling's.

研究结果表明:(1)抽样方式对遥感分类精度评价结果的影响是客观存在的,不同抽样方式下的点样本和群样本检验结果都存在一定的随机性,但同一种抽样方式下,点样本检验精度评估结果的波动幅度小于群样本检验,稳定性比群样本检验要好;(2)不同抽样方式下的多次点样本和群样本检验的平均精度检验结果基本上都能够反映分类图像的精度特征,其中,点样本检验中,分层随机抽样点样本检验效果较好;群样本检验中,系统抽样群样本检验和分层随机抽样群样本检验的效果优于简单随机抽样群样本检验。

Alloy of polyethylene of element of the methodological freeboard that make, titanium and sample of alloy of cobaltic chromic molybdenum, FITC of classics of cuticular grape coccus labels, the cuticular grape coccus that after sample of artificial and articulatory material is disinfected, vaccinal FITC labels, sample surface cent is slick surface and rough surface, every groups each 6 sample, brood the 24 orifice plate that contain bacterium and sample below 37 ℃ after Yo 30min, with fluorescent microscope observation, sample uses observation of scanning report lens.

方法制作超高分子聚乙烯、钛合金和钴铬钼合金试样,表皮葡萄球菌经FITC标记,人工关节材料试样消毒后接种FITC标记的表皮葡萄球菌,试样表面分为光滑表面和粗糙表面,每组各6个试样,将含有细菌和试样的24孔板在37℃下孵育30min后,用荧光显微镜观察,试样用扫描电镜观察。

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。

Some operational laws of interval-valued intuitionistic fuzzy numbers, score function and accuracy function of interval-valued intuitionistic fuzzy numbers are intriduced. Based on these operational laws, some aggregation operators, including interval-valued intuitionistic fuzzy ordered weighted arithmetic averaging operator and interval-valued intuitionistic fuzzy hybrid aggregation operator, are proposed.

论文摘要:对区间直觉模糊信息的集结算子进行了进一步研究,引入了区间直觉模糊数的一些运算法则、区间直觉模糊数的得分函数和精确函数,并基于这些运算法则,提出了一些新算子:区间直觉模糊数有序加权算术平均算子和区间直觉模糊数混合集结算子。

According to the LC-P line of each of insecticide in the mixture and the formula of co-toxicity factor, several expected mortality and the region of additive action (expected mortality±20% expected mortality) were calculated, and according to observed mortality of mixture, the 95% confidence interval was calculated, LC-P line of expected mortality with the region of additive action and LC-P line of observed mortality with the 95% confidence interval were drawn, it was found that there was overlap between the region of additive action and 95% confidence interval and two lines crossed each other when co-toxicity coefficient was more than 100 and the co-toxicity factor was less than 20, which meant there was no significant differences between expected mortality and observed mortality, and that there was on or a few overlap between the region of additive action and 95% confidence interval when co-toxicity coefficient was more than 100 and the co-toxicity factor was more than 20 or co-toxicity coefficient was less than 100 and the co-toxicity factor was less than 20, which meant there was significant differences between expected mortality and observed mortality.

根据单剂的LC-P线和共毒因子公式,求出混剂的期望死亡率和"相加作用区间"(期望死亡率±20%期望死亡率),根据混剂的实测死亡率求出95%置信区间,画出期望LC-P线及"相加作用区间"和实测LC-P线及"95%置信区间",发现当共毒系数大于100、共毒因子小于20时,实测LC-P线和期望LC-P线彼此交缠,期望LC-P线的"相加作用区间"和实测LC-P线的"95%置信区间"能高度重叠,表明两条LC-P线之间没有毒力差异;当共毒系数大于100、共毒因子大于20,或者共毒系数小于100、共毒因子小于-20时,实测LC-P线的"95%置信区间"和期望LC-P线的"相加作用区间"只有少量重叠或完全不重叠,体现出了实测LC-P线和期望LC-P线对供试害虫的毒力差异。

The concepts of interval grey number and the rules of four fundamental operations of interval grey number are simply stated, and then the distributive law for multiplication of interval grey number at some conditions is put forward and the distance between two interval grey number is defined.

第三章,简述了区间型灰数的概念及运算规则,给出了关于同性单性区间型灰数分配律定理,定义了区间型灰数的距离,然后利用最优化原理建立了灰关联模式识别公式,从而形成了一种新的灰关联模式识别方法。

Interval slope method is proposed for a class of unconstrained min-max-min problems, in which the objective functions are factorable functions. An interval algorithm is given by interval slope discard tests and interval extension of objective functions. Numerical results are also presented.

讨论目标函数为因子函数的离散无约束min-max-min问题,利用区间斜率,构造目标函数的区间扩张和区问斜率删除原则,建立了求解离散无约束min-max-min问题的区间斜率算法,并给出了数值算例。

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