北京工商大学

Guo Lijuan

Research and Professional Experience:

Guo Lijuan is a Lecturer in Statistics at Department of statistics, School of Economics, Beijing Technology and Business University (BTBU), China. She received her PhD degree from Beihang University in the year of 2011. Her research focuses on multivariate statistical analysis. She has published extensively on topics related to multivariate statistical.

Courses Taught:

Statistics, Econometrics (for undergraduate students)

Financial time series(for Master degree candidates)

Publications:

Academic Books and Textbooks

1. Research on the methods of multivariate compositional data analysis , Economic Science Press, 2014.

Academic Papers

1. ‘‘Discriminant Analysis Method for Compositional Data Based on An Isometric Logratio Transformation’’, Journal of Systems Engineering, 2016, Vol.34, No.2, 153–158 .

2. ‘‘Evaluation of Regional Innovation Capability with a Condensed Index System:

Based on Principal Basis Variable Selection and Principal Component Analysis’’, Journal of Systems Engineering, 2011, Vol.29, No.7, 34–40.

Projects:

1. “A study on the factors influencing users' online participation in innovation behavior and the interaction mechanism between users in the network innovation community”(71602006), collaborator, China National Natural Science Fund Project, 2016.

2. “Discriminant analysis method for multivariate compositional data and its application”(QNJJ2014-09), leading researcher, 2014 Start-up Projects for Young Teachers, BTBU, 2014.

3.“Study on the mechanism and effect of industrial structure and energy consumption on China's carbon emission reduction targets”(13CJY048), collaborator, China National Social Science Fund Project, 2013.

4.“Spatio temporal data analysis and application based on quantile regression”(12CTJ008), collaborator, China National Social Science Fund Project, 2012.

Lecturer

Guo Lijuan

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