查询词典 quantile

Quantile regression models are important statistical models, which are more powerful than least square regression and least absolute deviation regression in statistical analysis, and can supply much more attractive inference results for the datasets.

分位点回归模型是一种重要的统计模型，它比最小二乘回归和LAD回归具有更强的统计分析能力，能给数据集提供更加丰富的统计推断结果。

At present, semiparametric model, functional coefficient model and quantile regression are key issues in the field of regression analysis, they have been applied widely in multi-variable data analysis, economics and finance.

半参数模型、变系数模型和分位数模型是当今回归分析中研究的热点问题，在实际问题尤其是在多变量数据分析、经济学、金融学中有着广泛的应用。

By a more flexible model-the combination of semiparemetric model , functional coefficient model and quantile regression.

在本文中，主要讨论了非参数和半参数变系数分位数回归模型的估计及其应用。

In this paper, we mainly discuss nonparametric and semiparametric functional coefficient quantile regressions, their estimation methods and applications.

半参数变系数分位数回归模型，在理论上其假设前提条件限制比较少，在应用上具有很好的灵活性和很广的适用空间，能够更好地解释现实经济问题。

Especially, by an example for analysis of the authoritical boston housing prices data, we emphasize on applying an new regression model and method -- semiparametric functional coefficient quantile regression and two-step estimation method to show the great explaination of the new

介绍了非参数回归和半参数回归的发展历程及其估计方法，还介绍了分位数回归的相关理论及其研究现况。在半参数、变系数回归和分位数回归的基础上，进一步讨论了非参数和半参数的变系数分位数回归模型和局部多项式线性估计法。

Based on the estimation of quantile regression, the empirical results show that the effects of globalization on wage inequality indeed vary in accordance with types of trade partners as well as the conditional distribution of wages.

根据对分位数回归的估算，全球化对工资不平等的影响的确受贸易伙伴类型以及工资的条件概率分布的影响。

We employ quantile regression to capture the behavior at each quantile of conditional distribution.

以普通最小平方回归的方式来估计中小企业市场占有率时，会忽略其条件分配的差异。

After giving a detailed review of the related research of this field in the second chapter, we developed our own method : nonparametric quantile regression,in the third chapter.

本文结构安排如下：第一章对所研究的问题进行了描述；第二章对以往研究进行了详细总结之后，我们在第三章提出来本文的研究方法：非参数分位点回归法，并介绍了此方法。

The subjects of the study are Olympic Games of 1992, 1996 and 200. By use of quantile regression to formulate the econometric model, some variables of the participating countries are taken as independent variables. Variables such as the size of the participating countries, population, economic capacity, construction capacity, globalization and mobility are the examples. It is to explore the effects of the total signal for medal-won numbers when the dependent variable is the principal component, CGW weighted medal-won numbers, and LGdd weighted medal-won numbers.

本研究以1992年、1996年和2000年的各届奥运为研究对象，利用分量回归法建构其计量模型将各参赛单位的疆域、人口数、经济能力、建设能力、世界性与流动性做为自变数，分别探讨应变数为主成份总指标得牌数、CGW加权得牌数、LGdd加权得牌数时的影响。

Therefore, various theoretical and several empirical studies suggest that nonsystematic risk should also have some explanatory power with regard to expected return. In this paper we will use an OLS test and Quantile Regression Model to detect these relationships.

然而许多理及实证研究却认为非系统性风险应对期望报酬有些许的解释能力，故在这篇文中我们将利用OLS及Quantile Regression Model来检测期望报酬率、系统性风险与非系统性风险之间的关系。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。