Wei Ning

Professor, Professor of Research Excellence

Phone: 419-372-7462
Email: wning@bgsu.edu
Address: Office: 409 Mitchell B. McLeod Hall
Department of Mathematics and Statistics
Bowling Green State University
Bowling Green, OH 43403-0206

Research Interests

• Change Point Analysis
• Causal Inference
• High Dimensional Data
• Empirical Likelihood Method
• Time Series Analysis
• Survival Analysis
• Sequential Analysis

Education

• Ph.D., Statistics, Department of Mathematics, Syracuse University,, 2006. Advisor: Professor Hyune-Ju Kim
• M.A., Statistics, Syracuse University, 2003
• B.A., Mathematics,University of Science and Technology of China (USTC), 1999
• B.S., Finance,University of Science and Technology of China (USTC), 1999

CV

Selected Publications

Wang, P. and Ning, W. (2022). Sequential Change Point Detection for Skew Normal Distribution. Sequential Analysis. Accepted.

Li, T., Tian, W. and Ning, W. (2022). Jackknife empirical likelihood for the mean of a zero-and-one inflated population. Communications in Statistics-Theory and Methods. Accepted.

Li, M., Tian, Y.B. and Ning, W. (2022). Modified information criterion for detecting changes in skew slash distribution. In press. ROSE.

Li, M, Ratnasingam, S. and Ning, W. (2022). Empirical-likelihood-Based Confidence Intervals for Quantile Regression Models with Longitudinal Data. JSCS, 92(12), 2536-2553.

Ratnasingam, S. and Ning, W. (2022). Confidence Intervals of Mean Residual Life function in Length-biased Sampling Based on Modified Empirical Likelihood. In press. Journal of Biopharmaceutical Statistics.

Ratnasingam, S., Buzaianu, E and Ning, W. (2022). Modified Information Criterion for Testing Changes in Generalized Lambda Distribution Model Based on Confidence Distribution. Communications for Statistical Applications and Methods. 29(3), 301-317.

Stewart, P., Ning, W. (2021). Empirical-likelihood-based hypothesis tests for the means of two zero-inflated populations. In press. CIS-Simulation and Computation.  

Ratnasingam, S., Ning, W. (2021). Monitoring Sequential Structural Changes in Penalized High-Dimensional Linear Models. Sequential Analysis. 40(3), 381-404.

Ratnasingam, S.  and Ning, W.  (2021). Sequential Change Point Detection for High-Dimensional Data using Non-convex Penalized Quantile Regression. Biometrical Journal. 63(3), 575-598.

Piyadi Gamage, R.D. and Ning, W. (2021). Empirical Likelihood for Change Point Detection in Autoregressive Models.  Journal of the Korean Statistical Society. 50(1),69-97.

Liu, T., Tian, W and Ning, W. (2021). Sequential probability ratio test for zero inflation in counting data. In press. CIS-Simulation and Computation.

 Li, X., Tian, W. and Ning, W. (2021). Sequential Probability Ratio Test for the Skew Slash Distribution. International Journal of Intelligent Technologies & Applied Statistics. 14(1).

Ratnasingam, S.  and Ning, W. (2021). Change Point Detection in Three Parameter Weibull Distribution Based on Modi ed Information Criterion. Environmental and Ecological Statistics. 28(2), 303-322.

Ning, W. and Wu, Y. (2020). Estimation of Common Change Point and Isolation of Changed Panels after Sequential Detection. In press. Journal of Statistical Theory and Practice.

Stewart, P. and Ning, W. (2020). Confidence Intervals for Data Containing Many Zeros and Ones Based on Empirical-Likelihood-Type Methods. Journal of Statistical Computation and Simulation. 90(18), 3376-3399.

Wang, T., Tian, W. and Ning, W. (2020). Likelihood ratio test change-point detection in the skew slash distribution. In press. CIS-Simulation and Computation.

Stewart, P. and Ning, W. (2020). Confidence Intervals for Data Containing Many Zero Observations Based on Empirical-Likelihood-Type Methods. Computational Statistics. 35, 2019-2042.

Ratnasingam, S. and Ning, W. (2020). Confidence Distributions for Skew Normal Changepoint Model Based on Modi ed Information Criterion. Journal of Statistical Theory and Practice. 14(3), 1-21.

Piyadi Gamage, R.D. and Ning, W. (2020). Inference for Short-memory Time Series Models Based on Modi ed Empirical Likelihood. Australian & New Zealand Journal of Statistics. 62(3), 322-339.

Opperman, L. and Ning, W. (2020). Sequential Probability Ratio Test for the Skew Normal Distribution. In press. CIS-Simulation and Computation.

Cai, X., Tian, Y.B. and Ning, W. (2019). Change-point Analysis of the Failure Mechanisms Based on Accelerated Life Tests. Reliability Engineering & System Safety. 188, 515-522.

15. Chen, Y.J. and Ning, W. (2019). Modi ed Information Criterion in Detecting Change Points in Exponential-Logarithmic Distribution. Communications in Statistics-Simulation and Computation. 48(7), 1996-2003.

Basalamah, D., Said, K.K., Ning, W. and Tian, Y.B. (2018). Modified Information Criterion for Linear Regression Change-point Model with Its Applications. In press. Communications in Statistics-Simulation and Computation.

Said, K.K., Ning, W. and Tian, Y.B. (2017). Modified Information Criterion for Testing Changes in Skew Normal Model. Brazilian Journal of Probability and Statistics. 33(2), 280-300.

Piyadi Gamage, R.D., Ning, W. and Gupta, A.K. (2017). Adjusted Empirical Likelihood for Long-memory Time Series Models. Journal of Statistical Theory and Practice. 11(1), 220-233.

Piyadi Gamage, R.D., Ning, W. and Gupta, A.K. (2017). Adjusted Empirical Likelihood for Time Series Models. Sankhya B. 79(2), 336-360.

Cai, X., Tian, Y.B. and Ning, W. (2017). Modified Information Approach for Detecting Two Change Points in Piecewise Linear Failure Rate Function. Statistics & Probability Letters. 125, 130-140.

Chen, Y.J. and Ning, W. (2017). Tests for Smooth-Abrupt Changes with Applications. Electronic Journal of Applied Statistical Analysis. 10(1), 194-205.

Said, K.K., Ning, W. and Tian, Y.B. (2017). Likelihood Procedure for Testing Changes for Skew Normal Model With Application to Stock Returns. Communications in Statistics-Simulation and Computation. 46(9), 6790-6802.

Chen, Y.J., Ning, W. and Gupta, A.K. (2016). Empirical Likelihood Based Detection Procedure for Change Point in Mean Residual Life Functions Under Random Censorship. Pharmaceutical Statistics. 15, 246-254.

Cai, X., Said, K.K. and Ning, W. (2016). Change-point Analysis with Bathtub Shape for the Exponential Distribution Journal of Applied Statistics. 43(15), 2740-2750.

Chen, Y.J., Ning, W. and Gupta, A.K. (2017). Jackknife Empirical Likelihood Test for Equality of Two Mean Residual Functions. Communications in Statistics-Theory and Methods. 46(7), 3111-3122. Accepted in 2015.

Ning, W., Yeh, A. B., Wu, X.Q. and Wang, B.X. (2015). Distribution-Free Phase I Control Charts for Individual Observations Based on Empirical Likelihood Ratio. Quality and Reliability Engineering International, 31(1), 37-55.

Chen, Y.J., Ning, W. and Gupta, A.K. (2014).Jackknife Empirical Likelihood Methods on Testing for Equality of Variances of Two Samples. Journal of Applied Statistics, 42(1), 144-160.

Hasan, A., Ning, W. and Gupta, A.K. (2014). An Information Based Approach to Detecting the Change Point Under the non-central Skew t Model. Sequential Analysis, 33, 458-474.

Ngunken, G. and Ning, W. (2014). Information Approach for the Change Point Detection in the Skew Normal Distribution and Its Applications. Sequential Analysis, 33, 475-490.

Ning, W. and Ngunkeng, G. (2013). An Empirical Likelihood Ratio Based Goodness-of-Fit Test for the Skew Normality. Statistical Methods and Applications, 22, 209-226.

Ning, W. (2012). The Empirical Likelihood Ratio Test for a Mean Change Point Model with a Linear Trend Followed by an Abrupt Change. Journal of Applied Statistics. 39(5), 947-961.

Ning, W., Pailden, P. and Gupta, A.K. (2011). The Empirical Likelihood Ratio Test for the Epidemic Change Point Model. Journal of Data Science. 10, 107-127.

Ning, W., Gupta, A. K., (2009) Change Point Analysis For Generalized Lambda Distributions. Communications in Statistics-Simulation and Computation. 38, 1789-1802.

Ning, W., Zhang, S. G. and Yu, C. (2009). A Moment-Based Test for the Homogeneity in Mixture Natural Exponential Family with Quadratic Variance Functions. Statistics and Probability Letters. 79(6), 828-834.

Ning, W., Gupta, A. K., Yu., C. and Zhang, S. G., (2009). A Moment-Based Test for Homogeneity in Finite Mixture Models. Communication in Statistics{Theory and Methods. 38, 1371-1382.

Ning, W., Gao, Y. C, and Dudewicz, E. J., (2008). Fitting Mixture Distributions Using Generalized Lambda Distributions and Comparisons with Normal Mixtures. American Journal of Mathematical and Management Science. Vol. 28, NOS. 1&2, 81-99.

Ning, W. and Kim, H. J., (2008). Residual Pattern Based Test for Interaction in Two-way ANOVA. Biometrical Journal, 50(3), 431-445.