Kalanka Jayalath, Ph.D.

Program Director of Statistics and Associate Professor,
College of Science and Engineering

Contact number: 281-283-3778
Email: jayalath@uhcl.edu
Office: B3521-7

Biography

Books

Gupta, B. C., Guttman, I., Jayalath, K. P. (2020) “Statistics and probability with applications for engineers and scientists”. John Wiley & Sons.
Jayalath, K. P., Gunst, R. F., Meltzer, D. J (2021). “Spatial Characterization of the Large Rock Patterns in Blocks C, X, and Y", The Mountaineer Site: a Folsom Winter Camp in the Rockies, B.N. Andrews, D.J. Meltzer and M. Stiger, editors. University Press of Colorado, Louisville, CO.
Eifert, E. P., Jayalath, K. P., Chhikara, R. (in press). “Survival Analysis for the Inverse Gaussian Distribution: Natural Conjugate and Jeffrey’s Priors”. Emerging Topic in Statistics and Biostatistics: Bayesian Inference and Computation in Reliability and Survival Analysis.

Journal Articles

Jayalath, K. P., & Turner, J. (2021). “Analysis of Means (ANOM) Concepts and Computations”. Applications and Applied Mathematics: An International Journal (AAM) 16(1), 75-96.
Jayalath, K. P. (2021). “Fiducial Inferences on the Right Censored Birnbaum Saunders Data via Gibbs Sampler”, Stats 4(2), 385-399.
Jayalath, K. P., & Ng, H. K. T. (2020). “Analysis of Means (ANOM) Approach in Advanced Designs”. Applied Stochastic Models in Business and Industry, 36(3), 501-520.
Jayalath, K. P., & Chhikara, R. (2020). “Survival Analysis for the Inverse Gaussian Distribution with the Gibbs Sampler”. Journal of Applied Statistics.
Jayalath, K. P., & Ng, H. K. T. (2018). “Analysis of means approach for random factor analysis”. Journal of Applied Statistics, 45(8), 1426-1446.
Jayalath, K. P. (2018). “A machine learning approach to analyze ODI cricket predictors”.
Journal of Sports Analytics, 4(1), 73-84.
Jayalath, K. P., Ng, H. K. T., Manage, A. B., & Riggs, K. E. (2017). “Improved tests for homogeneity of variances”. Communications in Statistics-Simulation and Computation,
46(9), 7423-7446.

Research Grants

Faculty Development Fund (FDF), University of Houston - Clear Lake. 2016, 2017, and 2019
Conference Travel Grant: PI: “A Graphical Test for Testing Random Effects in Common Statistical Designs”, Department of Mathematics, Central Michigan University. 2016
Research & Creative Activity Grant: PI: “Modeling Spatial Data”, funded by Office of Research and Sponsored Projects, Stephen F Austin State University. 2015

Research Presentations

Invited talk: “A Bayesian Survival Analysis for the Inverse Gaussian Data”, International Conference on Statistical Distributions and Applications, ICOSDA 2019, Grand Rapids, MI.
Presented research work: “A Bayesian Approach for Survival Analysis with the Inverse Gaussian Data”, Conference of Texas Statisticians 2019, Lamar University, Beaumont, TX.
Invited talk: “A Graphical Test for Testing Random Effects”, Conference of Texas Statisticians 2017, Southern Methodist University, Dallas, TX.
Invited talk: “A Graphical Test for Testing Random Effects in Common Statistical Design”,
International Conference on Statistical Distributions and Applications, ICOSDA 2016, Niagara Falls, Canada.
Invited talk: “Spatial point patterns in geometrical structures”, Conference of Texas Statisticians 2015, University of Texas, Austin, TX
Presented research work: “An Application of Spatial Point Processes”, Joint Statistical Meetings 2014.
Guest Speaker: “Geometrical Pattern Identification Using Bayesian Paradigm”, The College of Sciences and Mathematics & The R. W. Yeagy Colloquium 2014, Nacogdoches, TX.

Editorial Memberships

Journal Reviewer

Professional Memberships