设计：随机区间分组设计。
此外，通过允许选择函数在一个区间中取值，推广了随机选择的概念。
Furthermore, by allowing the selection function to take values in an interval, the conception of random selection is generalized.
随机效应估计和它的可信区间会提出这样一个问题，“平均效应是什么？”
The random effects estimate and its confidence interval address the question 'what is the average treatment effect?
本文讨论了随机利率下股票指数期货的价格区间。
In this paper, we discuss the price interval of stock index futures with stochastic interest rates.
针对多态系统中可能存在多种状态概率表示形式的情况，介绍了多态系统可靠性计算的随机模型、模糊模型和区间模型。
With respect to different forms of state probabilities with uncertainty in multistate systems, multistate reliability models of stochastic, fuzzy and interval forms are introduced.
共同的相对危险率和95%的可信区间用一种随机效应模型被计算出来。
Pooled relative risk (RR) and 95% confidence interval (CI) were calculated using a random-effects model.
该算法利用前向线性预测技术以及区间正交小波变换抑制边界效应的能力，有效地减小了角随机游走和发动机干扰。
The algorithm USES forward linear prediction and the ability of the interval wavelet transform to restrain terrible edge effects, thus, the Angle walk and engine jamming are reduced effectively.
治疗效果采用相对危险度和加权均数差(采用随机效应模型的95%可信区间)概括。
Treatment effects were summarised as relative risks or weighted mean differences with 95% confidence intervals by using a random effects model.
通过引入可靠度的置信区间和置信度的概念，可以把结构分析中的随机参数转化为置信区间下的区间数。
Using concepts of the confidence interval and degree of confidence, random parameters in an engineering structure can be transferred into the interval Numbers.
阐述了爆破地震波的质点最大振速V是一个随机变量，它与Q、R没有一般意义上确定的函数关系，因此振动只能控制在某一区间。
The maximum velocity V in blasting vibration is a random variable, it has no definite function relation to Q and R in general meaning. So V only can be controlled in a confidence interval.
为合理建立装甲车辆的维修方案，分析了装甲车辆在一个大修区间内的故障随机过程。
To design a reasonable repair schedule of the armoured vehicles, fault stochastic process happening in an overhaul repair interval was discussed.
提出随机-模糊概率模型的分布参数为区间界限限定时，结构模糊可靠度的计算方法。
The calculation method of the fuzzy reliability of the structure was proposed when the distribution parameters of the random-fuzzy probability model were limited by the interval limitation.
结合区间最小切负荷的相关理论，使用改进的贪婪随机自适应搜索算法可快速有效的求解该模型。
Combing the theory of interval minimum load cutting problem, the improved greedy randomized adaptive search procedure (GRASP) is used to solve this model.
采用随机完全区组设计，以体重为区间。
The study was randomized complete block design and differentiated weight by block.
现在结构分析中应用的不确定性模型主要有随机模型，模糊模型，凸模型以及区间模型。
There are several mathematical models in present researches or applications about uncertain structural analysis, such as stochastic model, fuzzy model, convex model and interval one etc.
该方法既可恰当处理多属性区间值的不同随机分布假设，又可考虑决策者对综合评价值的期望水平，避免了对复杂的综合评价值随机分布的简单化处理。
Not only can the method deal with various stochastic distribution hypotheses for multiple attribute range values, but also take decision makers expectation of comprehensive assessment into account.
利用评价人员对待评方案给出的区间数评价值与理想区间数之间的差异和指标权系数的随机性，给出一种新的多指标评价方法。
Applying the ideal interval number of evaluated projects and the randomicity of index weight coefficients, a new mathematical programming model is established.
应用线性回归分析和移动平均理论，对按时间次序排列的单一数据序列，给出了一种线性移动自回归预测模型，并对原始数据受不确定因素影响而产生的随机振荡，给出了合理的控制区间和运行通道。
The theory of linear regression and the theory of moving average are applied to analyse single data in time series, the model of a linear moving self regression forecast are given out.
概率分布是描述随机变量取某个特定的值或取某一区间范围内值的概率。
The probability distribution associated with the random variable X describes the likelihood of obtaining certain values or ranges of values of the random variable.
本文提出了基于函数凸性的变换区域舍选法算法，该方法可应用于产生具有凸性区间的密度函数随机数。
A domain transformation method based on the property of convex is proposed and its basic properties are given.
根据资料一致性检验，采用随机效应模型(D- L法)计算合并相对危险度(RR)及其9%的可信区间(9%CI)。
Homogeneity showed that random effect model should be selected to calculate the pooling relative risk (rr) and its corresponding9%confide nce interval (9%ci).
根据资料一致性检验，采用随机效应模型(D- L法)计算合并相对危险度(RR)及其9%的可信区间(9%CI)。
Homogeneity showed that random effect model should be selected to calculate the pooling relative risk (rr) and its corresponding9%confide nce interval (9%ci).
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