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大样本检验 的英文翻译、例句

大样本检验

词组短语
large sample test
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With a large sample, the result from an F test and from an LM test should be similar

在大样本中,F检验和LM检验得到的结果相似。

The 95% confidence interval CL is 4.06.Innovation: According to the principles of randomization, blinding, control and large sample, using non-inferiority analysis, the research appreciates the efficacy of JinHuaDingKe.

创新点:遵循随机、盲法、对照、大样本设计原则,采用非劣效性检验方法,科学规范评价中药制剂金花定咳颗粒治疗急性气管-支气管炎痰热证的疗效。

This puts forward the research hypothesis requiring empirical test of large sample further.

并进一步提出了有待大样本实证检验的研究假设。

Objective Evaluation of the two large sample means t test?u test and u'test.

目的 对适用于两个大样本均数比较的t检验、u检验及u′检验评价。

Using a large sample independent Z test, It can be inferred that the possibility of the averaged scores overall of two key schools science students which falling into the confidence intervals of (89.78, 91.50) and ( 82.79, 87.63) were 95%, significantly at a higher level.

运用独立大样本Z检验,推断两所重点中学理科学生成绩总体均值依次落入以下置信区间(89.78,91.50),(82.79,87.63)的可能性为95%,达到显著性水平α=0.05。

Dempster et al (1983) assumed that logit of the historical rates is normally distributed. Bayesian methods are applied to obtain a P-value of the posterior probability of a positive dose-response slope. The authors indicated that their Bayesian approach is asymptotically equiva- lent to the large sample test of Tarone.

Dempster et a1(1983)假设历史对照患癌率的Logit服从正态分布,应用Bayesian方法给出了递增剂量反应斜率后验概率的P-值,并且指出,这种Bayesian方法与Tarone(1982)的检验在大样本时是渐近等价的。

In§5.4,we discuss the hypothesis test problemwhen the location and scale parameter may all change.

5.3讨论尺度参数变点的假设检验问题,引述Wangand Bhatti(1998a)的结果,利用Csorgo and Horváth(1997)的定理,对于Wang andBhatti(1998a)提出的检验统计量〓,其中〓,我们获得了〓的大样本性质,即对于一切实数x〓11进一步地,给出变点〓的估计〓,利用Csorgo and Horváth(1997)的推论1.6.2,我们讨论了变点估计〓的渐近性质,由此,可以给出变点〓的区间估计,〓12其中〓,〓满足〓和〓,这里〓为〓的分布函数。

Considering the fat-tail phenomenon that may exist in practical data, we have also studied the PTLE for the multi-t distribution model based on the three large sample tests above. Performances of the estimators according to the quadratic bias and mean square error are similarly compared in detail.

考虑到实际数据可能存在的厚尾情况,本文研究了文献中讨论颇多的多元t分布模型的基于大样本检验的等式约束预检验Liu估计,并同样在平方偏差和均方误差两个准则下对其优良性进行了详细比较。

However,for the large dimensional data.the sample covariance matrix is not a good estimator of the population counterpart.Many methods of parametric estimations and tests for multivariate statistical problems can not be simply used to deal with large dimensional data.

但是由于经典的大样本理论都是假定维数很小是固定的,故而经典极限理论并不适宜解决大维随机数据问题,很多多元问题的模型参数估计、模型检验的统计量已有的结果对大维海量数据并不能平凡推广。

The comparison error rate of LSD and Duncan is equal toα, but their experimental error rate is large toα. The comparison error rate of SNK, Scheffe, Bonferroni, Sidak are smeller toα, as well as experimental error rate. The power of test of SNK, Scheffe, Bonferroni, Sidak are smeller to LSD and Duncans. When unbalance design with small sample size, the power of SNK, Scheffe, Bonferroni, Sidak are little small.

LSD检验、Duncan检验的比较错误率接近检验水准,但二者的实验错误率远远大于检验水准;SNK检验、Scheffe检验、Bonferroni检验、Sidak检验的比较错误率和实验错误率均小于检验水准,但这三种方法对均数的敏感度不及LSD检验和Duncan检验;正态分布方差齐各组不均衡且为小样本时,Scheffe检验、Sidak检验、Bonferroni检验的β_2,值均较大。

更多网络解释与大样本检验相关的网络解释 [注:此内容来源于网络,仅供参考]

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