Jibo Wu

According to our database, Jibo Wu authored at least 23 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Comparisons Among the Preliminary Test Kibria-Lukman Estimator Based on Three Large Sample Tests in the Linear Regression Model.

Xiangyun Deng, Jibo Wu

Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023

Research on Influencing Factors of Non-Performing Loan Ratio of China Construction Bank Based on LASSO Algorithm.

Aijuan Liu, Jibo Wu

Proceedings of the Fuzzy Systems and Data Mining IX, 2023

2021

Composite quantile regression for ultra-high dimensional semiparametric model averaging.

Chaohui Guo, Jing Lv, Jibo Wu

Comput. Stat. Data Anal., 2021

2020

Comparison of Two Estimators of the Regression Coefficient Vector Under Pitman's Closeness Criterion.

Jibo Wu

Proceedings of the Fuzzy Systems and Data Mining VI, 2020

2019

On the Performance of the r-k Class Estimator in Partial Linear Model.

Yong Li, Jibo Wu

Proceedings of the 4th International Conference on Big Data and Computing, 2019

2018

Performance of the almost unbiased ridge-type principal component estimator in logistic regression model.

Jibo Wu, Yasin Asar

Commun. Stat. Simul. Comput., 2018

The properties of stochastic restricted two-parameter ridge type estimator in linear regression model.

Daoqing Zhou, Jibo Wu

Proceedings of the 2018 International Conference on Big Data and Computing, 2018

2017

More on the restricted Liu estimator in the logistic regression model.

Jibo Wu, Yasin Asar

Commun. Stat. Simul. Comput., 2017

Preliminary test Liu-type estimators based on W, LR, and LM test statistics in a regression model.

Jibo Wu

Commun. Stat. Simul. Comput., 2017

Restricted ridge estimator in the logistic regression model.

Yasin Asar, Mohammad Arashi, Jibo Wu

Commun. Stat. Simul. Comput., 2017

2016

Restricted difference-based Liu estimator in partially linear model.

Jibo Wu

J. Comput. Appl. Math., 2016

Improved Liu-type estimator in partial linear model.

Jibo Wu

Int. J. Comput. Math., 2016

Modified restricted Liu estimator in logistic regression model.

Jibo Wu

Comput. Stat., 2016

Modified Restricted Almost Unbiased Liu Estimator in Linear Regression Model.

Jibo Wu

Commun. Stat. Simul. Comput., 2016

2015

On the Principal Component Liu-type Estimator in Linear Regression.

Jibo Wu, Hu Yang

Commun. Stat. Simul. Comput., 2015

2014

Performance of Some Stochastic Restricted Ridge Estimator in Linear Regression Model.

Jibo Wu, Chaolin Liu

J. Appl. Math., 2014

Comparison of Some Estimators under the Pitman's Closeness Criterion in Linear Regression Model.

Jibo Wu

J. Appl. Math., 2014

On the Stochastic Restricted r-k Class Estimator and Stochastic Restricted r-d Class Estimator in Linear Regression Model.

Jibo Wu

J. Appl. Math., 2014

On the Stochastic Restricted Almost Unbiased Estimators in Linear Regression Model.

Jibo Wu, Hu Yang

Commun. Stat. Simul. Comput., 2014

Efficiency of the restricted r-d class estimator in linear regression.

Jibo Wu

Appl. Math. Comput., 2014

The relative efficiency of Liu-type estimator in a partially linear model.

Jibo Wu

Appl. Math. Comput., 2014

2013

On the Performance of Principal Component Liu-Type Estimator under the Mean Square Error Criterion.

Jibo Wu

J. Appl. Math., 2013

On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression.

Chaolin Liu, Hu Yang, Jibo Wu

J. Appl. Math., 2013