Joshua Landon

MBAD 6220 – Statistical Analysis for Managers 
STAT 6282 – Foundations of Risk Analysis 
STAT 6210 – Data Analysis 
STAT 4198 – Introduction to Bayesian Statistics 
STAT 4197 – Fundamentals of SAS Programming for Data Management 
STAT 4181 – Applied Time Series Analysis
STAT 2183 – Statistical Computing Packages 
STAT 2118 – Regression Analysis 
STAT 2112 – Business and Economic Statistics II
STAT 1111 – Business and Economic Statistics I 
STAT 1053 – Introduction to Statistics in Social Science
STAT 1051 – Introduction to Statistics in Business and Economics

•    Ay, A., Landon, J., Özekici, S., and Soyer, R. (2024). Bayesian Analysis of Markov Modulated Queues with Abandonment. Applied Stochastic Models in Business and Industry, Vol. 40(3), 791-812. https://doi.org/10.1002/asmb.2839

•    Ay, A., Landon, J., Ruggeri F. and Soyer, R. (2023). A Latent-Factor Self-Exciting Point Process for Software Failures, Naval Research Logistics, Vol. 70(6), 584-600. https://doi.org/10.1002/nav.22107

•    Landon, J. and Gastwirth, G. (2022). Graphical Measures Summarizing the Inequality of Income of Two Groups, Statistics and Public Policy, Vol. 9(1), 20-25. https://doi.org/10.1080/2330443X.2021.2016084

•    Landon, J. (2022). A Bayesian Analysis of Raman Spectrums, Technometrics, Recently Submitted, Currently Under Review.

•    Ay, A., Landon, J, Özekici, S. and Soyer, R. (2021). Bayesian Analysis of Doubly Stochastic Markov Processes in Reliability, Probability in the Engineering and Informational Sciences, Vol. 35(3), 708-729. https://doi.org/10.1017/S0269964820000157

•    Landon, J. (2016). Book Review of "SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition".  The American Statistician, Vol. 70(3). https://doi.org/10.1080/00031305.2016.1203696

•    Landon, J. and Singpurwalla, N. (2014). Solving a System of High Dimensional Equations by MCMC, Perspectives on High Dimensional Data Analysis: Contemporary Mathematics, American Mathematical Society, Vol. 622, 11-20. https://doi.org/10.1090/conm/622/12430

•    Landon, J., Ozekici, S. and Soyer, R. (2013). A Markov Modulated Poisson Model for Software Reliability (with S. Ozekici and R. Soyer), European Journal of Operational Research, Vol. 229(2), 404-410. https://doi.org/10.1016/j.ejor.2013.03.014

•    Landon, J., Lee, F. and Singpurwalla, N. D. (2011). A Problem in Particle Physics and Its Bayesian Solution, Statistical Science, Vol. 26(3), 352-368. https://doi.org/10.1214/11-STS364

•    Landon, J., Ruggeri, F., Soyer, R., and Tarimcilar, M. (2010). Modeling Latent Sources in Call Center Arrival Data, European Journal of Operational Research, Vol. 204(3), 597-603. https://doi.org/10.1016/j.ejor.2009.10.022

•    Landon, J. and Singpurwalla, N. D. (2008). Choosing a Coverage Probability for Prediction Intervals, American Statistician, Vol. 62(2), 120-124. https://doi.org/10.1198/000313008X304062

•    Chandra, J. and Landon, J. (2006). Towards a Reliable and Resilient Mobile Wireless Architecture, Stochastic Analysis and Applications, Vol. 24(4), 827-841. https://doi.org/10.1080/07362990600753569

Ph.D. in Statistics, The George Washington University, 2007.
B.A. in Mathematics, University of Oxford, 2000.