QQ：分位数

“Quantile Quantile”通常缩写为QQ，便于书写和日常使用。这一术语在统计学、数据分析等众多综合领域中广泛应用，尤其常见于分布比较或正态性检验等未明确分类的场景。其中文含义是“分位数”，用于描述概率分布中的特定位置。

Combined with Bayesian statistical inference methods and quantile regression, we get the Bayesian quantile regression.
将贝叶斯统计推断方法与分位数(QQ)回归结合起来，就得到了贝叶斯分位数(QQ)回归。
At last, based on the characteristics of the data we present a new weighted quantile regression method, i.e. power weighted quantile regression.
最后根据数据的特点，提出新的分位数(QQ)回归的加权方法即幂加权分位数(QQ)回归。
And the impact of asset-liability ratio on the performance of low quantile is less than the performance of high quantile.
并且，资产负债率对高新技术企业绩效低分位数(QQ)的影响小于对绩效高分位数(QQ)的影响。
Copula Quantile Regression combines Copula functions and the methods of quantile regression, which can better measure the relationship between variables, especially the tail correlation.
Copula分位数(QQ)回归把Copula理论和分位数(QQ)回归理论结合起来，能更好的度量变量之间的关系，特别是尾部的相关关系。
There is a positive correlation between the executive stock ownership and performance of family listed companies. But the coefficient of each quantile is less. This difference increases as the quantile rises.
同时，家族上市公司高管持股比例和公司绩效之间也呈正相关关系，但各个分位点处的回归系数相对较小，且这一差异随分位点的上升而显著增大。

本站英语缩略词为个人收集整理，可供非商业用途的复制、使用及分享，但严禁任何形式的采集或批量盗用

若QQ词条信息存在错误、不当之处或涉及侵权，请及时联系我们处理：675289112@qq.com。