置信区间

二项式分布参数p的置信区间

Confidence interval for the coefficent ρ of binomial distribution

在大多数情况下，设p为95%，这个值在置信区间比较期间保持不变。

Most commonly , p is chosen to be95 % and is kept constant during confidence interval comparisons .

置信区间和P值针对群集设计进行调整。

Confidence intervals and P-values were adjusted for the cluster design .

附加信息下的p分位数光滑经验似然置信区间

Smoothed empirical likelihood confidence intervals for quantile in the presence of auxiliary information

进一步地，我们建议用经验似然比统计量来构造φn的置信区间。

Furthermore , we construct a confidence intervals for φ n by empirical likelihood method .

基于MATLAB小样本的最短置信区间

The Shortest Confidence Interval Calculated Based on Matlab

要回答这些问题，最明显的方法是为统计数据构造置信区间（confidenceinterval）。

The most intuitive way to answer these questions is to construct confidence intervals for the statistics .

试验制剂伊曲康唑分散片相对生物利用度F为100.53%±9.58%，双单侧t-检验和（1-2α）置信区间分析显示，两制剂为生物等效制剂。

The t-test and ( 1-2 α) confidence interval analysis show that two preparations were bioequivalent .

每100000人群中与意外跌落相关的死亡率（MR）为14.5（99%置信区间：13.7-15.4）。

The unintentional-fall-related mortality rate ( MR ) per100000 population was14.5 ( 99 % confidence interval , CI : 13.7 – 15.4 ) .

R法遗传参数估值置信区间的计算方法和重复估计次数的研究

Study on the Calculation Methods of Confidence Intervals of Genetic Parameter Estimates by Method R and Number of Repeating Estimations

本文介绍了一种计算置信区间的方法，推导出目前广泛应用的BP网的置信区间计算公式。

In this paper , an algorithm for confidence bounds calculation is introduced for the widely used BP Neural Network .

Poisson分布中未知参数的精确置信区间

Exact confidence interval of unknown parameter in Poisson distribution

您还可以为您预计的Y值设置一个缺省为95%的置信区间（confidenceinterval）。

You can also set a confidence interval for your predicted Y values ( default is a95 percent confidence interval ) .

定时截尾试验Weibull分布参数的近似置信区间

Approximate Confident Interval of Parameter for Weibull Distribution under Fix-time Censored Test

Poisson分布的几种置信区间的比较

Comparison Of Some Confidence Intervals About Poisson Distribution

在孢粉统计中、计算了各种类成分的百分频度、浓度、“R”值及其置信区间。

In terms of pollen statistics , the paper worked out the percentage , concentration , R value of different Taxa their confidence limit .

在近单位根环境下，运用经验似然方法来检验或构造φn的置信区间是很有意思的课题，并且能起到很重要的作用。

Under the nearly unit root circumstance , applying empirical likelihood method to construct confidence intervals for φ n is an interesting topic and very useful .

指数分布参数的BayesHPD置信区间估计

Estimation of Bayes HPD confidence interval of exponential distribution parameter

仿真输出分析中置信区间的Bootstrap估计方法

Bootstrap Estimators of Confidence Intervals in Simulation Output Analysis

财务危机发生概率的Logit模型置信区间

Logit model confidence intervals for controlling probability of financial crisis

用经典方法、BoxCox变换后的经典方法和自助法计算参数估值的均数、标准误和置信区间。

Parameter estimates and their standard errors and confidence intervals were computed by classical method , classical method after Box-Cox transformation and bootstrapping .

VaR是指在一定置信区间内，发生不超过某一区域目标范围内的预计最大损失。

VaR is the expected maximum loss over a given region within the target range within a certain confidence interval occurred .

Bootstrap方法在置信区间和标准差估计中的应用（英文）

Applications for Bootstrap Method to the Estimation of the Standard Error and Confidence Intervals ;

第三章通过运用广义p值的方法，讨论了寿命服从极值分布，修理时间服从对数正态分布的系统的稳态可用度A的假设检验问题和置信区间。

In Chapter HI , through the generalized p-value method , we discuss the hypothesis problem and confidence interval for steady state availability of a system with extreme value operating time and lognormal repair time .

比估计的Bootstrap置信区间

Bootstrap Confidence Interval of Ratio Estimation

经统计检验，发现不同台站的R、b大小虽有差异，但正常情况下均在其置信区间变化（置信概率0.95）。

It was found by statistical test that R , b from different stations were different , but varied in confidence interval under normal condition ( confidence probability is 0 . 95 ) .

用bootstrapping技术计算置信区间是最好的方法。

Rely on bootstrapping as the best way to compute confidence intervals .

在阶段k应用Bayes定理，得出系统可靠性的点估计、置信区间估计，并对评估结果进行任务周期修正；

At stage k , Bayes method is used to get the failure rate of system , then the result is updated according to the duty cycle .

GB/T10094-1988正态分布分位数Xp置信区间磷酸厂的地理位置遵循不同的布局。

The confidence interval of quantile Xp for normal distribution The geographical location of the phosphoric acid plants follows a different pattern .

并由此得到其最大后验密度（HPD）置信区间。

What ever cases we can deduce the confidence interval of high posterior density ( HPD ) .