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Master Supervisor
 
Chang Xinfeng
Date:2022-01-11  View:
 


Title: Professor, Doctoral Supervisor
ADDRESS:School of Finance and Economics, Jiangsu University, Zhenjiang 212013, P. R. China
E-mail:cxf@ujs.edu.cn

【Research Field & Interest】

1. Statistical model and Application

2. Parametric and Nonparametric models

3. Functional data analysis

【Teaching courses】

1.Statistics

2.Multivariate Statistical Analysis

3.Applied Regression Analysis

4.Statistical Machine Learning

5.Mathematical Statistic


【Publications】

1. Xinfeng Chang, Luyao Chen. 2020. Analysis of the Spatial Spillover Effects of Financial Development and Capital Efficiency on High-quality Economic Development. Financial Economics Research, 35(4):35-45.

2. Xinfeng Chang, Xin Guan. 2020. Spatial and Temporal Evolution of Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration in the Process of New Urbanization. Economic Geography, 40(3):185-195.

3. Xinfeng Chang, Hexiang Wang. 2019. Preliminary test almost unbiased two-parameter estimators with student’s t errors and conflicting test statistics. Communications in Statistics-Theory and Methods, 48:4449-4473.

4. Xinfeng Chang. 2018. Performance of the principal component two-parameter estimator in misspecified linear regression model. Communication in Statistics -Simulation and Computation, 47:2070-2082.

5. Xinfeng Chang, Jibo Wu. 2018. Performance of the Stein-type Two-Parameter Estimator in Multiple Linear Regression Model. Communications in Statistics-Theory and Methods, 47:1935-1952.

6. Xinfeng Chang. 2018. On preliminary test almost unbiased two-parameter estimator in linear regression model with student’s t errors. Communications in Statistics-Theory and Methods, 47:583-600.

7. Xinfeng Chang, Hu Yang. 2014. Preliminary test estimators induced by three large sample tests for stochastic linear restrictions in a regression model with multivariate student-t error. Communications in Statistics-Theory and Methods, 43: 3629-3640.

8. Xinfeng Chang, Hu Yang. 2012. Combining two-parameter and principal component regression estimators. Statistical Papers, 53(3): 549-562.

9. Xinfeng Chang, Hu Yang. 2012. Performance of the preliminary test two-parameter estimators based on the conflicting test-statistics in a regression model with student-t error. Statistics, 46(3):291-303.

10. Hu Yang, Xinfeng Chang. 2010. A new two-parameter estimator in linear regression, Communications in Statistics-Theory and Methods, 39(6):923-934.

11. Hu Yang, Xinfeng Chang, Deqiang Liu. 2009. Improvement of the Liu estimator in weighted mixed regression. Communications in Statistics-Theory and Methods, 38(2):285-292.


【Research Project】

1. National Natural Science Foundation of China: Biased estimation, test and application of constrained parametric and semiparametric regression models (11501254)

2. Natural Science Foundation of Jiangsu: Research on biased estimation theory and application of constrained parametric and semiparametric regression models (BK20140521)

3. National Bureau of Statistics of PRC: Estimation and application of semi functional partial linear model (2019LY83)
4. National Bureau of Statistics of PRC: Research on biased estimation theory and application of parametric regression model (2012LY147)
5. Philosophy society of colleges and universities of Jiangsu Provincial Department of Education: Measurement and influencing factors of agricultural ecological efficiency in Jiangsu Province in the process of agricultural modernization (2020SJA2061)


【Honors】

1. Award of Young Academic Leaders of Jiangsu University (2015)

2. Award of the Sixth New Long March Raider of Jiangsu University(2016)

3. Multivariate Statistical Analysis was rated as an excellent course for postgraduate English Teaching in Jiangsu University(2019)

4. The master's thesis "Research on ecological efficiency and influencing factors of central urban agglomeration in the Yangtze River Delta under the background of new urbanization" was rated as the excellent master's thesis of the Jiangsu University(2020)



 
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