受限分位点回归,Censored Quantile regression
1)Censored Quantile regression受限分位点回归
英文短句/例句

1.An Analysis of Incurred Losses of Automobile Insurance in China我国机动车辆保险市场的风险理赔因素分析——分位点及受限分位点回归的应用
2.The relationship between joint fixing demension and ultimate capacity had been founded by regression at the end.最后,给出了经回归分析得到的新型节点几何尺寸和受压极限承载力的关系式。
3.Analysis of Financial Contagion Based on Change Point Testing of Quantile Regression Model;基于分位点回归模型变点检测的金融传染分析
4.Wavelet Analysis for Change Points in Threshold Autoregressive Models and Nonparametric Models门限自回归模型和非参数模型中变点的小波分析
5.Quantile Regression of Scale Effect between Input Intensity of Firm s Innovation Employee and Size of Firm s Employee;企业创新人力投入强度规模效应的分位点回归研究
6.A New Algorithm for the Least Orthogonal Absolute Deviation Regression Based on the Threshold Accepting Algorithm基于门限接受算法的正交最小一乘回归新算法
7.The Limit Distribution of DW(h) and ρ(h) Statistics in Spurious Regressions伪回归中DW(h),ρ(h)统计量的极限分布
8.During a tropical year the sun moves from Vernal Equinox to Vernal Equinox.在一个回归年内,太阳从春分点转回到春分点。
9.Quantile Regression Analysis of Gender Wage Gap in China中国性别工资差异的分位数回归分析
10.A Quantile Regression Analysis on Chinese Resident s Consumption;基于分位数回归的中国居民消费研究
11.Extreme Value Statistics and Quantile Regression: Theory and Application极值统计与分位数回归理论及其应用
12.Empirical Likelihood Confidence Regions for Quantile Regression Models分位数回归模型的经验似然置信区域
13.Analyze the Origin of Moral Education's Historical Value to Regress Family Ethical Standard透析德育历史价值始点 回归家庭伦理本位
14.Empirical Likelihood Confidence Regions of Regression Coefficient in Quantile Regression Models under Φ-Mixing Samples;Φ-混合样本下分位数回归模型回归系数的经验似然置信区域
15.The Finite Element and Experimental Regressive Analysis on Local Shrinkage of Steel Plates by Induction Heating;钢板感应加热局部有限元及实验回归分析
16.The Study and Application on Regression Analysis of Crane Moment Limiter;回归分析在起重机力矩限制器中的应用研究
17.Parameter Estimation and Equivalence between CDM and MSOM in Quantile Regression of Longitudinal Data Models with Fixed Effects基于固定效应的纵向数据分位点回归模型的参数估计及CDM和MSOM的等价性
18.The Quantile Regression Analysis on the Price-Volume Relationship of Shanghai Stock Exchange;上海证券交易市场量价关系的分位回归分析
相关短句/例句

threshold quantile regression model门限分位点回归模型
1.Evaluation of conditional VaR based on threshold quantile regression model;应用门限分位点回归模型估计条件VaR
3)regression quantile回归分位点
1.This paper presents the large properties of ‘regression quantiles in linear models, establishing the strong consistency and asymptotic normality in similar form,modifying and extending the results about minimum l 1- norm estimates in linear models obtained by Chen,X.论证了线性模型中回归分位点估计量的强相合性及渐近正态性等大样本性质 ,这些结果推广了陈希孺等 ( 1 990 ,1 992 )的有关定理 ,改进了Koenker与Basstee( 1 978) ,Gutenburnner与Jurec∨kova( 1 992 ) ,以及Jurec∨kovo与Prochazka( 1 994)等人的有关成果。
2.Regression quantiles are robust against the influence of outliers and, taken several at a time, they give a more complete picture of the conditional distribution than a single estimate of the center, and they are more efficient than the least square .回归分位点是一类基本的稳健估计,它们受数据中异常点的影响较小,并能给条件分布以更加全面的统计描述;当误差项服从重尾分布或其分布受到污染时,它们比LS估计的有效性更高。
4)quantile regression model分位点回归模型
1.Evaluation of conditional VaR based on threshold quantile regression model;应用门限分位点回归模型估计条件VaR
5)censored tobit regression受限Tobit回归
6)quantile regression分位回归
1.The Quantile Regression Analysis on the Price-Volume Relationship of Shanghai Stock Exchange;上海证券交易市场量价关系的分位回归分析
2.With the data from western listed company in China and the quantile regression model,relevant factors that impact the capital structure are analyzed.利用我国西部上市公司的数据,运用分位回归模型研究资本结构的各类影响因素,与OLS回归结果相对照,可以发现公司规模、股本结构、资产担保价值、非债务税盾和收益性等因素对处于资本结构不同分位的公司的非对称性影响,从而丰富了对资本结构影响因素的理解。
3.Our empirical results from a quantile regression analysis of data from Shanghai Stock Exchange show that there exist significant price-volume relations between return-rate and volume and between absolute return-rate and volume.而采用分位回归方法对沪市价量关系进行研究的结果表明,沪市收益率及收益率绝对量和交易量之间存在显著的价量关系。
延伸阅读

多元线性回归模型分子式:CAS号:性质:假定从理论上或经验上已经知道输出变量y是输入变x1,x2,…,xm的线性函数,但表达其线性关系的系数是未知的,要根据输入输出的n次观察结果(c11,x21,…,xml,yi)(i=1,n)来确定系数的值。按最小二乘法原理来求出系数值,所得到的模型为多元线性回归模型。