RUNSTATS with frequency and quantile statistics.
包含频率和分位数统计信息的runstats。
The table shows the quantile statistics for the column "STATE."
上表显示了 “STATE”列的分位数统计信息。
If you set this parameter to zero or "1", no quantile statistics are collected.
如果将这个参数设置为零或“1”，则不收集任何分位数统计信息。
There are different types of distribution statistics -- frequency and quantile statistics.
有两种不同类型的分布统计信息 ——频率统计信息和分位数统计信息。
So we introduced and used quantile regression method, which was robust in this situation.
本文将使用相对于最小二乘法更具有稳健性的分位点回归估计法。
Quantile statistics provide the information whether the values of a column are clustered or not.
分位数统计信息提供关于一个列中的值是否聚合的信息。
RUNSTATS collects two types of data distribution statistics: frequency statistics and quantile statistics.
RUNSTATS收集两种类型的数据分布统计信息：频率统计信息和分位数统计信息。
Based on quantile regression, this paper reexamines the spillover effect of FDI in China % industry sector.
本文使用分位数回归法重新审视了外资对中国工业部门的技术溢出。
The precision for the frequency and quantile statistics can be modified for an individual column or a group of columns.
可以为单个列或一组列修改频率和分位数统计信息的精确度。
Quantile regression is a basic tool for estimating conditional quantiles of a response variable Y given a vector of regressors X.
分位数回归是给定 回归变量X，估计响应变量Y条件分位数的一个基本方法。
At the same time constructed with quantile regression method and COVAR model in the actual measure of the banking system based on risk.
同时构建了基于分位数回归办法和COVAR实际的本文器量银行体系性风险的详细模子。
This thesis is devoted to investigate the statistical diagnostics, particularly the influence analysis, for nonlinear quantile regression.
本文比较系统地研究了非线性分位点回归模型的统计诊断，尤其是影响分析等。
In this paper, the quantile regression method and combined with COVAR based on the actual construction of the measure of Chinas banking system risk.
本文基于分位数回归办法并联合COVAR实际构建了丈量我国银行业体系性风险的模子。
If, in addition, distribution statistics (frequency and quantile statistics) should be collected for all columns of the table CARS, execute the following command.
此外，如果需要收集CARS表中所有列的分布统计信息(频率统计信息和分位数统计信息)，那么可以执行以下命令。
The filter factors calculated based on the available quantile statistics are not exact, but the estimate error is below 5%, even when only 20 values are collected.
根据已有的分位数统计信息计算出来的过滤因子不是很精确，但即使只收集20个值，其误差仍然低于5%。
The theory of quantile regression, Copula quantile regression, extremal quantiles and applications of quantile regression in many fields are discussed in this paper.
本文主要对分位数回归的理论、Copula分位数回归、极端分位数以及分位数回归在各个领域的应用进行了深入研究。
Based on China's listed companies, this paper empirically investigates the complicated effect of state ownership on firm performance in a quantile regression framework.
以中国上市公司为例，本文首次采用分量回归模型实证分析了国有股权对公司业绩的复杂影响。
This is already a good value because it guarantees that the optimizer, by using the quantile statistics, only has an estimated maximum error of 5% for the determined filter factors.
这已经是一个较好的值，因为它可以保证优化器在使用分位数统计信息的情况下对确定过滤因子的估计误差最大只有5%。
There already exist Median, Quartiles and Tenth quantile etc. Based on this, the authors put out the concept and (calculation) method for tri-sectional quantiles in this article.
统计中已有确定中位数、四分位数、十分位数等的方法，文章在此基础上提出三分位数的概念及其确定的方法。
The column has many duplicates (frequency statistics), or the values of the column are not evenly distributed, which means they are clustered in certain areas (quantile statistics)
该列有很多重复的值（频率统计信息），或者该列的值分布不均匀，即它们在某些局部是聚合的（分位数统计信息）。
The normal distribution is very often inadequate for the description of real financial data with heavy-tail distributions, especially very large quantile that interest to a risk manager.
广泛应用的正态分布不足以描述金融收益的厚尾特征，尤其是风险管理者最为关心的较大分位数。
In the third chapter, if the application of quantile regression model and actual stopped briefly introduced and the application in risk measurement category of coherent literature carding;
第三章如果对本文所应用的分位数回归模子及实际停止了简略引见，并对其在风险器量范畴的应用相干文献停止梳理；
The Bahadur representations for this quantile estimator are established in order to derive asymptotic properties of the sequential fixed-width confidence intervals estimation for quantiles.
基于左截断右删失数据下的乘积限估计构造了分位数固定宽度序贯置信区间及其估计，研究了序贯置信区间估计的渐近性质。
After summarizing research actuality of quantile regression inside and outside our country, this article introduces this ideal model and realization method, and compares it with OLS and LAD.
本文在对分位数回归的国内外研究现状进行综述后，介绍了分位数回归的模型和实现方法，并将它与最小平方法、最小一乘法进行了比较。
The quantile statistics default value is controlled by the num_quantiles database configuration parameter and provides information about how data values are distributed in relation to other values.
分位数统计信息的默认值由 num_quantiles数据库配置参数控制，该值提供了数据值对于其他值而言是如何分布的有关信息。
In this paper laws of the iterated logarithm for quantile density estimator and its derivative estimators are established when data are subject to left-truncated and right-censored observations.
在左截断右删失数据下，我们基于乘积限估计给出了分位密度估计，获得了分位密度估计及其导数的重对数律。
With the data from enterprises in Zhongguancun Science Park and with quantile regression model, we in this paper have studied various relevant factors that impact the growth of high tech enterprises.
本文利用中关村科技园区的企业数据，运用分位回归模型研究了影响高新技术企业成长的各类相关因素。
And then this thesis summarized the parameter estimation methods of the quantile regression models including Bayesian analysis, and introduced the calculation and evaluation methods of VaR in detail.
然后总结了分位回归模型的参数估计方法和贝叶斯理论分析，并详细归纳了风险价值的计算方法、评价方法。
And then this thesis summarized the parameter estimation methods of the quantile regression models including Bayesian analysis, and introduced the calculation and evaluation methods of VaR in detail.
然后总结了分位回归模型的参数估计方法和贝叶斯理论分析，并详细归纳了风险价值的计算方法、评价方法。
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