1972 - 1973

2016

2014

2014  

2013

2010-2013

2002

Recent Publications

Archival Journals

Zhong, X and Samaranayake, V.A., (2016). Bootstrap-based Unit Root Tests for Higher Order Autoregressive Models with GARCH (1, 1) Errors. Journal of Statistical Computation and Simulation. <http://www.tandfonline.com/doi/full/10.1080/00949655.2016.1146720 >.

Gosavi A, Daughton W, Senoz O, Samaranayake V.A. (2016) Consumer Perception of U.S. and Japanese Automobiles: A Statistical Comparison via Consumer Reports and J.D. Power & Associates Data. International Journal of Engineering Management and Economics. In Press.

Que S, Awuah-Offei K, Samaranayake V. A. (2015). Classifying critical factors that influence community acceptance of mining projects for discrete choice experiments in the United States. Journal of cleaner production. 87:489-500.

Mohammadi, Mojtaba A, Samaranayake, V.A., and Bham, Ghulam, H. (2014).Crash Frequency Modeling using Negative Binomial Models: An Application of Generalized Estimating Equation to    Longitudinal Data. Analytic Methods in Accident Research, 2, 52-69.

Dinesh Kanigolla, Elizabeth A. Cudney, Steven M. Corns, and Samaranayake V.A. (2014). Project Based Learning for Quality and Six Sigma Education. International Journal of Six Sigma and Competitive Advantage, 8(1), 51-68.

Rupasinghe, M., Mkhopadhyay, P., and Samaranayake, V.A. (2014). Obtaining Prediction Intervals for FARIMA processes using the Sieve bootstrap, Journal of Statistical Computation and Simulation, 84, No. 9, 2044-2058 .

Al Ghamari, A., Murry, Susan, and Samaranayake, V.A. (2013). The Effects of Wearing Respirators on Human Fine Motor, Visual, and Cognitive Performance, Ergonomics, 56(5), 791-802.

Rupasinghe, M. and Samaranayake, V.A. (2012). Asymptotic properties of sieve bootstrap prediction intervals for FARIMA processes, Statistics and Probability Letters, 82, 2108-2114

Butukuri, R.R., V.P., Bheemreddy, V.P., Chandrashekhara, K., and Samaranayake, V.A. (2012). Evaluation of low-velocity impact response of honeycomb sandwich structures using factorial-based design of Experiments, Journal of Sandwich Structures and Materials, 14: 339-361.

Mukhopadhyay, P. and Samaranayake, V.A. (2010). Prediction Intervals for Time Series: A Modified Sieve Bootstrap Approach, Communications in Statistics - Simulation and Computation, 39(03), 517 – 538.

Abstracts

Olbricht GR, Samaranayake VA, Injamuri S, Wang L, Fiebelman C, et al. (2014). Modeling Sleep and Wake Bouts in Drosophila Melanogaster. Annual Conference on Applied Statistics in Agriculture. Paper 4.

Thimgan, M.S., Injamuri, S. Fiebelman, C. Wang, L., Samaranayake, V.A., Olbricht. G. (2014). Relationship of sleep and wake bouts in Drosophila. Sleep, Abstract supplement, 37, A49.

Thimgan, M.S., Injamuri, S., Samaranayake, V.A., and Olbricht, G. (2013). Mathematical analysis of sleep and wake transitions in Drosophila melanogaster, Sleep Abstract supplement 36 A57.

Proceedings

Jayawardhana A, Samaranayake V.A. (2015). Lower Tolerance Bounds in Accelerated Life Testing for the Weibull Distribution. In JSM Proceedings, Quality and Productivity Section, Alexandria, VA, American Statistical Association. 2015; :1509-1516.

Eshebli A, Samaranayake V.A. (2015). Bootstrap-Based Confidence Intervals in Partially Accelerated Life Testing Under the Generalized Exponential Distribution. In JSM Proceedings, Quality and Productivity Section, Alexandria, VA, American Statistical Association. 873-883.

Samaranayake V. A, Liu J. (2015). An Investigation of the Day-of-the-Week Effect on the Volatility and Returns of Individual S&P 500 Sectors. In JSM Proceedings, Business and Economic Statistics Section, Alexandria, VA, American Statistical Association. 2991-3001.

Jornaz A, Samaranayake V.A.(2015). A Multi-step Approach to Modeling the 24-hour Daily Profiles of Electricity Load Using Seasonally-Varying Splines. In JSM Proceedings, Business and Economic Statistics Section. Alexandria, VA: American Statistical Association. 3785-3790.

Thilakaratne M, Rupasinghe M, Samaranayake V.A. (2014).Sieve Bootstrap-Based Prediction Intervals for Autoregressive Processes with GARCH Innovations. In JSM Proceedings, Business and Economic Statistics Section. Alexandria, VA: American Statistical Association. 3284-3296.

Zhong X, Samaranayake V.A. (2014). Bootstrap-Based Unit Root Tests for Higher Order Autoregressive Models with GARCH (1, 1) Errors. In In JSM Proceedings, Business and Economic StatisticsSection. Alexandria, VA: American Statistical Association. :3760-3769.

Jayawardhana A, Samaranayake V.A. (2014). Predictive Density Estimation in Accelerated Life Testing for Lognormal Life Distributions. In JSM Proceedings, Quality and Productivity Section. Alexandria, VA: American Statistical Association. 2325-2338.

Thilekaratne, M, and Samaranayake, V.A. (2013). Bootstrap-Based Prediction Intervals for conditional Heteroscedastic Models with Seasonnally Varying Unconditional Variance. ASA Proceedings of the Joint Statistical Meetings, American Statistical Association (Montreal, Canada),2967-2981.

Zhong, Xiao and Samaranayake, V.A. (2013). A Sieve Bootstrap-Based Test for Multiple Unit Roots. (2013). ASA Proceedings of the Joint Statistical Meetings, American Statistical Association (Montreal, Canada), 3312-3322.

Prediction Intervals for ARIMA Processes: Sieve Bootstrap Approach. (2012). ASA Proceedings of the Joint Statistical Meetings, American Statistical Association (Alexandria, VA),1078-1090

Rupasinghe, M. and Samaranayake, V.A. (2012). Obtaining Prediction Intervals for FARIMA Processes using the Sieve Bootstrap,Proceedings of the Joint Statistical Meetings, American Statistical Association, 3283-3293.

Alferink, A. and Samaranayake, V.A. (2011). Lifetime predictive Density Estimation in Accelerated Degradation Testing for Lognormal Response Distributions with Arrhenius Rate Relationship. Proceedings of the Joint Statistical Meetings, American Statistical Association, 4373-4385.