Yongsong Qin

发表

POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2009, Expert Syst. Appl..

Ci Builder: A system prototype for building confidence intervals for differnces of groups

Yongsong Qin, S Zhang, X Wu, 2006 .

Joint empirical likelihood confidence regions for a finite number of quantiles under negatively associated samples

Yinghua Li, Yongsong Qin, Qingzhu Lei, 2015, J. Syst. Sci. Complex..

Optimized Parameters for Missing Data Imputation

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2006, PRICAI.

Combining kNN Imputation and Bootstrap Calibrated: Empirical Likelihood for Incomplete Data Analysis

Chengqi Zhang, Shichao Zhang, Yongsong Qin, 2010, Int. J. Data Warehous. Min..

Kernel-Based Multi-Imputation for Missing Data

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2006, AMT.

GBKII: An Imputation Method for Missing Values

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2007, PAKDD.

Confidence intervals for nonparametric regression functions with missing data: Multiple design case

Yongsong Qin, Qingzhu Lei, 2011, J. Syst. Sci. Complex..

Estimating confidence intervals for structural differences between contrast groups with missing data

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2009, Expert Syst. Appl..

Semi-parametric optimization for missing data imputation

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2007, Applied Intelligence.

Difference Detection Between Two Contrast Sets

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2006, DaWaK.

Empirical likelihood confidence intervals for differences between two datasets with missing data

Shichao Zhang, Yongsong Qin, Shichao Zhang, 2008, Pattern Recognit. Lett..

Empirical likelihood for linear models under negatively associated errors

Yinghua Li, Yongsong Qin, Yongsong Qin, 2011, J. Multivar. Anal..

Missing Value Imputation Based on Data Clustering

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2008, Trans. Comput. Sci..

A modified likelihood ratio test for homogeneity in bivariate normal mixtures of two samples

Yongsong Qin, Qingzhu Lei, 2009, J. Syst. Sci. Complex..

Clustering-based Missing Value Imputation for Data Preprocessing

Shichao Zhang, Chengqi Zhang, Xiaofeng Zhu, 2006, 2006 4th IEEE International Conference on Industrial Informatics.

A new empirical likelihood ratio goodness of fit test for normality based on moment constraints

Yongsong Qin, Chioneso Show Marange, Yongsong Qin, 2019, Commun. Stat. Simul. Comput..

An Empirical Likelihood Ratio-Based Omnibus Test for Normality with an Adjustment for Symmetric Alternatives

Yongsong Qin, Chioneso Show Marange, Yongsong Qin, 2021, Journal of Probability and Statistics.

Modified likelihood ratio test for homogeneity in bivariate normal mixtures with presence of a structural parameter

Yongsong Qin, QingZhu Lei, 2008 .

Empirical likelihood confidence intervals for the Gini measure of income inequality

Yongsong Qin, J. N. K. Rao, Changbao Wu, 2010 .

Empirical Likelihood‐Based Inferences for Generalized Partially Linear Models

David Ruppert, Hua Liang, Yongsong Qin, 2009, Scandinavian journal of statistics, theory and applications.

Optimized parameters for missing data imputation

Chengqi Zhang, Shichao Zhang, Yongsong Qin, 2006 .

Empirical Likelihood-Based Confidence Interval of ROC Curves

Yongsong Qin, Haiyan Su, Yongsong Qin, 2009, Statistics in biopharmaceutical research.

Confidence intervals for marginal parameters under fractional linear regression imputation for missing data

Yongsong Qin, J. N. K. Rao, J. Rao, 2008 .

EMPIRICAL LIKELIHOOD‐BASED INFERENCES FOR PARTIALLY LINEAR MODELS WITH MISSING COVARIATES

Hua Liang, Yongsong Qin, Hua Liang, 2008, Australian & New Zealand journal of statistics.

On empirical likelihood for linear models with missing responses

Yongsong Qin, Qingzhu Lei, Yongsong Qin, 2010 .