Wei Ning


Ning Wei

Professor

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

Research Interests

  • Mixture Distributions
  • Change Point Analysis
  • Causal Inference
  • Empirical Likelihood Method
  • Time Series Analysis
  • Survival Analysis
  • Sequential Analysis
  • Confidence Distribution

Education

Publications

Stewart, P. and Ning, W. (2019). Adjusted Empirical Likelihood and Transformed Empirical Likelihood Confidence Intervals for the Data Containing Many Zero Observations. Under review.

Opperman, L. and Ning, W. (2019). Sequential Probability Ratio Test for the Skew Normal Distribution. Under review.

Opperman, L. and Ning, W. (2019). Energy Statistics-Based Goodness of Fit Test for Skew Normality. Submitted.

Ratnasingam, S. and Ning, W. (2019). Confidence Distribution for Skew Normal Changepoint Models. Under review.

Piyadi Gamage, R.D. and Ning, W. (2019). Detecting Change Points in Hazard Functions Based on Empirical Likelihood. In progress.

Piyadi Gamage, R.D. and Ning, W. (2019). An Nonparametric Method in Detecting Changes in ROC Curve. In progress.

Piyadi Gamage, R.D. and Ning, W. (2019). Adjusted Empirical Likelihood Inference for Longitudinal Data with Missing Response Variables. In progress.

Piyadi Gamage, R.D. and Ning, W. (2019). Confidence Regions for Long-memory Time Series models Based on Modified Empirical Likelihood. In progress.

Piyadi Gamage, R.D. and Ning, W. (2019). Modified Adjusted Empirical Likelihood for Short-memory Time Series Models. Under review.

Piyadi Gamage, R.D. and Ning, W. (2018+). Empirical Likelihood for Change Point Detection in Time Series Models. Under review.

Cai, X., Tian, Y.B. and Ning, W. (2018+). Changepoint Analysis for Coefficient of Variation Based on Empirical Likelihood. Under review.

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.

Alghamdi, A., Ning, W. and Gupta, A.K. (2018+) Statistical Inference for the Transformed Rayleigh Lomax Distribution with Progressive Type-II Right Censorship. Accepted. Electronic Journal of Applied Statistical Analysis.

Alghamdi, A., Ning, W. and Gupta, A.K. (2018). An Information Approach for the Change Point Problem of the Rayleigh Lomax Distribution. International Journal of Intelligent Technologies and Applied Statistics. 11(4), 233-254.

Basalamah, D., Ning, W. and Gupta, A.K. (2018+). The Beta Skew-t Distribution and Its Properties. In press. Journal of Statistical Theory and Practice.

Chen, Y.J. and Ning, W. (2018+). Modified Information Criterion in Detecting Change Points in Exponential-Logarithmic Distribution. 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. In press. Brazilian Journal of Probability and Statistics.

Said, K.K., Ning, W. and Tian, Y.B. (2017). Detecting Changes in Linear Regression Model with Skew Normal Errors. Random Operators and Stochastic Equations. 26(1), 1-10.

Said, K.K., Basalamah, D., Ning, W. and Gupta, A.K. (2017). The Kumaraswamy Skew-t Distribution and Its Related Properties. Communications in Statistics--Simulation and Computation. 47(8), 2409-2423.

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 2016.

Ning, W. (2015). Probabilistic Representations of Matrix Variate Skew Normal Models. Random Operators and Stochastic Equations. 23(1), 21-29.

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.

Ngunken, G. and Ning, W. (2015). Changepoint Detection Model based on Skew-Normal distributions for aCGH Data. Journal of Computations & Modelling. 5(2), 75-87.

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.

Wu, X.Q., Zhang, S.G. and Ning, W. (2014). Empirical Likelihood Ratio Based Test for Change Point Detection in Linear Regression Model. Acta Mathematicae Applicatae Sinica (English series). Accepted.

Ning, W. (2014). Empirical Likelihood Ratio Based Goodness-of-Fit Test for Generalized Lambda Distribution. European Journal of Pure and Applied Mathematics. 7 (1), 22-36.

Gupta, A.K., Aziz, M.A. and Ning, W. (2013). On Some Properties of the Unified Skew Normal Distribution. Journal of Statistical Theory and Practice. 7, 480-495.

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.

Zhang, H.H., Jing, H.F., Ning, W. and Gupta, A.K. (2013). Edgeworth Expansion of the Moment-based Test for Homogeneity in the Mixture NEF-QVF family. Communications in Statistics--Simulation and Computation. 42(10), 2281-2294.

Li, H. and Ning, W. (2012). Multiple Comparisons with a Control Under Heteroscedasticity. Journal of Applied Statistics, 39(2), 2275-2283.

Ning, W. (2012). Probabilistic representations of matrix variate skew normal models. Random Operators and Stochastic Equations. In press.

Zhang, H.H., Jing, H.F., Ning, W. and Gupta, A.K. (2012). Edgeworth Expansion of the Moment-based Test for Homogeneity in the Mixture NEF-QVF family. Communications in Statistics--Simulation and Computation, 42(10), 2281-2294.

Ning, W. (2012). Empirical bayes method on changepoints estimation of tumor growth profiles in xenograft experiments. Journal of Applied Statistical Science, 19(2), 105-115.

Yan, C.J., Zhang, S.G. and Ning, W. (2012). Estimations of the Improper Linear Regression Models with Complex-valued Data. Journal of The Graduate University of Chinese Academy of Sciences. 29(2), 146-153.

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. and Gupta, A.K. (2012). Matrix variate extended skew normal distributions. Random Operators and Stochastic Equations, 20(4), 299-310.

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., Gao, Y. C, and Dudewicz, E. J. Chapter 8: Fitting Mixture Distributions Using A Mixture of Generalized Lambda Distributions with Computer Code. Chapter of Handbook of Fitting Statistical Distributions with R (Ed. by Dudewicz, E.J. and Karian, Z.A.). Publishing date: October 1, 2010. Boca Raton, FL: CRC Press.

Zhang, S.G., Liao, Y. and Ning, W. (2010). Asymptotic Properties of Quasi-Maximum Likelihood Estimates in Generalized Linear Models. Communication in Statistics--Theory and Methods, 40, 4417-4430.

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.

Ning, W., (2007). A Moment-based Test of Genetic Linkage Under Heterogeneity. JP Journal of Biostatistics, 1(3), 267 - 281.