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 反映变量
 response variable
 Estimation of linear models with error in response variable 误差在反映变量线性模型的估计 短句来源 Consider linear models of the form Y=Xτβ+e with error in the response variable. 考虑反映变量有误差的线性模型Y=Xτβ+e. 短句来源
 “反映变量”译为未确定词的双语例句
 Aim To study partially linear error-in-responses models. 目的研究部分线性反映变量含误差模型。 短句来源 Empirical likelihood confidence regions for partially linear error-in-responses models 部分线性反映变量含误差模型的经验似然置信区域 短句来源 Estimation of linear error-in-covariables models with validation data 反映变量有误差时线性回归分析 短句来源 (3)On the base of cointegration theory, the author puts forward lag-conintegration and its estimates and tests based on least square method and maximum likelihood estimation, and using the Lag-cointegration, the author researches the long-term quantitative relationship between intermediate targets of monetary policy and inflation, and finds the lag-cointegration equation which can describe long-term relationbetween those variables. 3) 在协整理论的基础上,提出了反映不同时期变量序列间长期关系的滞后协整的概念,就滞后协整的估计和检验做了初步的研究,给出了基于最小二乘法和极大似然法的滞后协整的估计和检验方法; 并应用此滞后协整方法,分析了货币政策中介目标与通货膨胀的长期关系,建立了反映变量之间长期关系的滞后协整方程。 短句来源 Empirical likelihood is a nonparametric method of statistical inference, this paper introduced historical development and present situation of empirical likelihood method, we mainly develop the empirical likelihood method to partially linear error-in-responses models and partially linear regression model missing responses at random, for apply empirical likelihood method to other models, we only introduce simply. 经验似然比方法是一种非参数统计方法,本文介绍了经验似然比的历史发展及现状,并主要推广经验似然比方法到部分线性反映变量含误差及部分线性反映变量随机缺失模型,对经验似然比在其它模型中的应用作了简单介绍。 短句来源 更多

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 response variable
 The response variable was the total units of enzymatic activity shown by the immobilized enzyme (UIMO). Models showed that activity measurements and spore production were most sensitive to substrate MC with highest levels of each response variable occurring at maximum moisture levels. On testing for no effect of a predictor on response variable, some tests have been proposed in the literature. The response variable is the recoded Substance Abuse Treatment Scale with three ordered levels (engagement/persuasion, active treatment, and recovery/relapse prevention), and hence two thresholds. The response variable is the number of days of hospitalization, collected every 6 months over 3 years. 更多
 This paper is mainly about discretization for inductive learning from continuous sample data. In inductive learning approach, how to discretize the sample data can directly affect the creation of the production rules and the recognizing result. But the problem of discretization of continuous data hasn't been well solved. In this paper, a new discretization method, based on the class\|dependent discretization, is proposed. This approach consists of three main processes: interval initialization using the maximum... This paper is mainly about discretization for inductive learning from continuous sample data. In inductive learning approach, how to discretize the sample data can directly affect the creation of the production rules and the recognizing result. But the problem of discretization of continuous data hasn't been well solved. In this paper, a new discretization method, based on the class\|dependent discretization, is proposed. This approach consists of three main processes: interval initialization using the maximum entropy criterion, interval improvement using multi\|dimensional optimization, and interval combination using the second\|order probability statistical estimation and the criteria from real world. In addition, this paper uses the new method to analyze some problems of China macro\|economy. It is proved that the method in this paper can get a promising result. 主要研究的是归纳式学习中连续型样本数据的分组问题 .在归纳式学习方法中 ,对样本数据的不同分组会直接影响到所生成的反映变量间相互关系的规则 ,从而影响到对新样本的识别效果 .特别是对样本数据为连续型的数据的分组问题 ,目前尚未得到很好的解决 .本文在类相关离散化方法的基础上 ,提出了用极大熵法进行初始区间划分 ,用多因素优选法调整区间的边界 ,二阶概率统计检验与实际意义相结合进行区间合并的一整套划分区间的方法 ,并用本文建立的新方法体系对中国宏观经济的某些指标间的相互关系进行了分析 ,取得了良好的效果 A statistical model in case of a continuous product portfolio was established.On base of experimental data,two mathematicmodels were set up respectively with stepwise regression and partial least square regression.The models'quality was discussed throughanalyzing explicable capability of the models.It was pointed out that for a continuous product portfolio,modeling with PLS method canreflect maximum information of variables;eliminate noise;adaptive variables and result with a matematic model that indicates realcharacteristics... A statistical model in case of a continuous product portfolio was established.On base of experimental data,two mathematicmodels were set up respectively with stepwise regression and partial least square regression.The models'quality was discussed throughanalyzing explicable capability of the models.It was pointed out that for a continuous product portfolio,modeling with PLS method canreflect maximum information of variables;eliminate noise;adaptive variables and result with a matematic model that indicates realcharacteristics of objectives and accords with practices. 以一个流程产品结构为实例,用统计方法对其进行建模研究。基于经验数据分别运用逐步回归和偏最小二乘回归方法建立了两个产品结构模型,通过分析模型对变量的解释能力,讨论了所建模型的质量。指出对数据量不充足和有噪声的流程产品结构,采用偏最小二乘法进行回归分析建模,能够最大限度地反映变量的有用信息,去除噪声,并且对变量有较好的适应性,可以得到更能够反映对象真实特性和符合实际规律的数学模型。 A class of the generalized product-limit estimators is introduced for regression analysis in the presence of both left-truncation and right-censoring on the response variable. The weak convergence of the generalized product-limit estimators is established. These generalized product-limit estimators are used to define some minimum distance estimator of the parameter vector in the regression analysis. The consistent and asymptotic normality of the minimum distance estimators are obtained under certain assumptions.... A class of the generalized product-limit estimators is introduced for regression analysis in the presence of both left-truncation and right-censoring on the response variable. The weak convergence of the generalized product-limit estimators is established. These generalized product-limit estimators are used to define some minimum distance estimator of the parameter vector in the regression analysis. The consistent and asymptotic normality of the minimum distance estimators are obtained under certain assumptions. 对于截断与删失下的反映变量,我们提出了一类广义乘积限估计,并获得了它的弱收敛性.在回归分析中,利用这类广义乘积限估计来定义一种最小距离的参数估计,并获得了这种参数估计的相合性和渐近正态性. << 更多相关文摘
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