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 聚集数据
 aggregated data
 Quasi Score Function in Aggregated Data Nonlinear Regression Model 聚集数据非线性模型中的拟得分函数 短句来源 Two estimations of unknown parameter in Gauss-Markoff model with aggregated data are proposed by Peter and Karsten[1]. 文献［1］提出了聚集数据的Gauss－Markoff模型中未知参数的两种估计。 短句来源 Estimate of the Parameters in the Linear Model with Aggregated Data 聚集数据线性模型的参数估计问题 短句来源 The Relative Efficiencies of Parameter Estimations in Gauss-Model with Aggregated Data 聚集数据的Gauss－Markoff模型中参数估计的相对效率 短句来源 On Biased Linear Estimators in a Linear Model with Aggregated Data 聚集数据线性回归模型的有偏估计 短句来源 更多
 aggregate data
 The algorithm consists of three basic phases: phase A(Aggregate data to be transmitted), phase B( Breadcast between transputers )and phase C ( Compute in parallel), of which phase B is the most crucial, because it is related directly with the success and efficiency of the algorithm ABC. 这种算法有三种基本相组成:聚集数据相(A相)、通讯相(B相)和计算相(C相)。 在这三相中,B相最为关键,因为它直接关系到算法的成功和效率。 短句来源 Storage technology of high-dimensional OLAP aggregate data in data warehouse system 数据仓库系统中高维联机分析处理聚集数据存储技术研究 短句来源 Secondly it gives a kind of approximate query computing model with which query aggregate data and views could be queried rapidly. 其次对于聚集查询环境下如何实现快速查询,给出了一个基于聚集数据的近似查询计算模型; 短句来源 This thesis explores the technology of the aggregate data of MOLAP and mainly concentrates on how to find out the optimal sequence of the multi-way array aggregation, how to store the data effectively and how to index and query the data. 本文主要对MOLAP模型中聚集数据进行了研究,主要从如何快速的选择聚集次序、如何有效的存储聚集数据以及在其上相应的查询更新等方面展开。 短句来源 To reduce the expensive access to archive data, the characteristics of aggregate data query were analyzed, and the aggregate query language and its rewriting method were proposed. 为了减少在计算和存档数据流的过程中对昂贵的存档数据的存取,分析了聚集数据查询的特点,并引入了聚集查询语言和聚集查询重写方法。 短句来源 更多
 “聚集数据”译为未确定词的双语例句
 The Modified Peter-Karsten Estimate of the Parameters in the Linear Model with Aggregated Date 聚集数据的线性模型参数的改进Peter－Karsten估计 短句来源 The Multi-level Meta Analysis Model Combining Individual Level Data with Aggregative Level Data 组合聚集数据与个体数据的多水平Meta分析模型 短句来源 The Biased Estimators of the Parameters in the Linear Model with Aggregated Date 聚集数据的线性模型参数的有偏估计 短句来源 ④Some Microsoft Clustering Algorithm and MDT Data Mining Models are created base on relational database and OLAP database. ④分别基于关系数据库和OLAP数据库建立微软聚集数据挖掘模型和微软决策树数据挖掘模型。 短句来源 For the relative efficiencies of parameter estimators in linear model with agsregated data,the weighted relative efficiencies are proposed and their lower or upper bounds are given in this paper. Theirs relation with the efficiency which is discussed by Duan Qingting[2] is shown. 就聚集数据的线性模型参数估计的相对效率，作者提出一种新的定义──加权相对效率，并给出其上、下界．同时还讨论了加权相对效率与文献［2］中相对效率的关系． 短句来源 更多

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 aggregated data
 Almost all of this work has been based on highly aggregated data where it is not known if nonreligious people account for the suicides. Furthermore, this implies that budget and price-elasticities cannot be consistently estimated from aggregated data and that equivalence scales are not identified from budget survey data alone. A simple earnings ratio technique using more aggregated data from the same state is shown to provide reasonable estimates of industry earnings. In this paper we circumvent the common use of aggregated data before 1999 by estimating interest rate reaction functions based on a panel including actual EMU Member States. Optimizing on daily-aggregated data severely degraded the model's ability to separate GEE and RE. 更多
 aggregate data
 This paper applies aggregate data analysis to explore the relationships among the economic development level, the status of women, and the quality of life in developing societies. In addition, while aggregate data, such as presented in this report, are more helpful in deriving risk estimates for population subgroups, they cannot supplant good individual-level data for determining risks. Other researchers have studied these relationships through cross-sectional analysis of aggregate data, without conclusive result. The aggregate data indicate that all kinds of heat-induced DNA damage in solution arise through this common mechanism. Secondly, this model is estimated, with cross section aggregate data, for both periods using a logit formulation. 更多
 An efficient parallel algorithm——ABC for multitransputer systems is discussed.The algorithm consists of three basic phases: phase A(Aggregate data to be transmitted), phase B( Breadcast between transputers )and phase C ( Compute in parallel), of which phase B is the most crucial, because it is related directly with the success and efficiency of the algorithm ABC. Through the analysis of arithmetic complexity (AC), Communication complexity(CC), speed up and efficiency of the algorithm, it is found that the efficiency... An efficient parallel algorithm——ABC for multitransputer systems is discussed.The algorithm consists of three basic phases: phase A(Aggregate data to be transmitted), phase B( Breadcast between transputers )and phase C ( Compute in parallel), of which phase B is the most crucial, because it is related directly with the success and efficiency of the algorithm ABC. Through the analysis of arithmetic complexity (AC), Communication complexity(CC), speed up and efficiency of the algorithm, it is found that the efficiency of the algorithm is related closely with the ratio of CC to AC, the less the ratio, the higher the efficiency. For the problem with small ratio of CC to AC, therefore, algorithm ABC is an efficient parallel process. To study the algorithm ABC is to research the measure of reducing the ratio of CC to AC, so the implementation strategy of the algorithm ABC is discussed in this paper too,Algorithm ABC and the strategy for it proposed in this paper have been used successfully to process in parallel the problem of solving linear systems of algebraic equations[1,2]. The example in this paper shows that for the linear algebraic systems with full matrix, the higher the order, the higher the parallel efficiency, because of the small ratio of CC to AC. 本文讨论了多Transputer系统的一种有效的并行算法——ABC法。这种算法有三种基本相组成:聚集数据相(A相)、通讯相(B相)和计算相(C相)。在这三相中,B相最为关键,因为它直接关系到算法的成功和效率。本文通过对ABC法的计算复杂度、通讯复杂度、加速比和效率的分析,发现ABC法的效率与通讯复杂度和计算复杂度的比直接相关;该比值越小,则效率越高。因此对于通讯复杂度/计算复杂度较小的问题,ABC法是一种有效的方法。研究ABC法,就是要研究降低通讯复杂度与计算复杂度的比值的措施。为此本文专门讨论了ABC法的实施策略。 ABC法及本文提出的实施策略已被成功地用来并行处理线性方程组的直接解法问题。实例表明,本文得出的结论是正确的,对于满阵线性方程组,阶越高,ABC法的效率越高。这是因为阶越高,通讯复杂度/计算复杂度越小的缘故。 In this paper, we propose a biased estimator of β after our careful study on the general regression model: Y = Xβ+ε, where the variable Y is substituted by T = A'Y , and A is an n × m matrix. According to the mean square error (MSE) matices, we have proved that the biased estimator may even perform better than the Gauss-Morkov estimator based on untransformed data. It may be reasonable to use the biased estimator proposed in this paper instead of the "Naive" LS (NLS) estimator proposed in paper [3]. 本文考虑一般线性模型:Y=Xβ+ε,其中向量Y不能直接观测到,而只能观测到T=A′Y,这里A是任意的n×m阶矩阵。我们提出了系统β的一种新的有偏估计,在均方误差(MSE)准则下,我们证明了这种有偏估计可优于文献中经常提出的基于聚集数据的最优线性无偏估计,甚至也可优于无聚集的Gauss-Markov估计,与文献[3]提出的“朴实”最小二乘(NLS)估计相比较,这种有偏估计是一种更适当的估计。 Abstract Two estimators of the parameters in the linear model with aggregated data are proposed by Peter & Karsten (1987). In this paper. the modified Peter-Karsten estimate is given and its estimate efficiency is studied. 文献［１］结出了聚集数据的线性模型参数的两种估计方法。本文利用引理２对两种估计作了改进，并研究了其效率问题。 << 更多相关文摘
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