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1)  panel data
综列数据
1.
In this paper,with the reference of national dairy product industry statistics and the panel data from the dairy product,and industry of different provinces,the features of dairy product industry development in China and its regional characteristics were studied through the .
该文基于全国乳品工业1998~2005年年度统计数据以及各省市的综列数据,通过对生产函数的估计以及对影响行业绩效的相关因素的分析,考察了我国乳品行业发展的特点及其区域特征。
2.
Using the panel data of our country aerodrome ′s passenger number before and during the five train velocity creating ,and the demonstration analysis to econometrics model by the way using panel data,drawing the conclusion as follows:although the number of civil aviation′s passenger has creased, this is the result of high speed of GDP creating.
利用铁路系统 5次提速前后国内各民航机场旅客运输量的综列数据,通过对处理综列数据方法的经济计量学模型的估计和实证分析,得出如下结论:尽管我国民航旅客运输量在近几年不断攀升,但这是由于国内生产总值高速增长即经济快速发展的结果,若排除国内生产总值快速增长的影响因素进行分析,铁路提速对民航客运量的影响实际上是下降了。
3.
With the reference of national dairy product industry statistics and the panel data from the dairy product.
基于全国乳品工业1998~2005年年度统计数据以及各省市的综列数据,通过对生产函数的估计以及对影响行业绩效的相关因素的分析,考察我国乳品行业发展的特点及其区域特征。
2)  data integration
数据综合
1.
Aircraft control system for data integration can reduce the cost and size of the device in effect.
控制系统数据综合是导弹等飞行器实现低成本和小型化的有效途径。
3)  Synthetic data
综合数据
4)  List data
列表数据
5)  data sequence
数据序列
1.
It is difficult to tackle the problem about testing of attributes between two data sequences for grey relational analysis because the number of data sequences must be more than 2 in order to structure a grey relational space.
灰关联分析要求数据序列个数必须大于2才能构成灰关联空间,难以解决两个数据序列之间属性检验问题。
2.
Several non-dimensionalization changings of single-index data sequence and their characteristics are studied in this paper.
研究了单指标数据序列的几种无量纲化变换及其性质 ,提出了一种对灰色斜率关联度的改进模型 ,改进后的关联度能够反映序列的正、负相关关系 ,并且对原始序列进行无量纲化变换处理时不影响关联系数及关联度的值 ,还研究了改进的关联度及关联系数的性质。
3.
The purpose of filtering of a data sequence is to reduce the influence of measurement errors as possible on condition that the periodicity, ageing, and other effect quantities aroused by causal quantities should be maintained.
数据序列滤波的目的是在保留数据序列的周期性、时效性及其它原因量引起的效应分量的前提下 ,尽可能地削弱测读误差的影响。
6)  Data series
数据序列
1.
Grey model is an exponential model,which has high precision to observation data series fiting in with exponential rule.
灰色模型是一种指数模型 ,它对于符合指数规律的观测数据序列具有较高的精确度。
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