Doctor of Philosophy in Applied Statistics; University of California, Riverside.
Master of Science in Statistics; University of California, Riverside.
Master of Science in General Math; California State University, Long Beach.
Bachelor of Science in Mathematical Sciences; California State University, San Marcos.
Qualifications and Expertise
More than fifteen years professional experience applying mathematical and statistical expertise in multiple fields, including aviation, military, software, wood science, and theoretical mathematical statistics.
Published works in multiple scientific peer-reviewed journals.
Expertise in R, C, C++, Microsoft, Office, Visual Basic, LaTeX, SQL, and other products.
Professional consulting experience applying multiple methods, including linear and nonlinear regression, generalized linear models, analysis of variance, multivariate models, factorial and other experimental designs, longitudinal data analysis, change point detection, non-parametric hypothesis testing, Bayesian estimation, forecasting, copulas and dependence, and compound random variables.
Professional Experience
Research Mathematical Statistician, United States Department of Agriculture, 6 years.
Mathematician, United States Navy, 2 Years.
Mathematical Analyst & Scientist, United States Air Force, 6 years.
Gu, H., Nepal, P., Arvanitis, M., & Alderman, D. (2021). Carbon impacts of engineered wood products in construction. Engineered Wood Products for Construction, 233-246.
Wang, H., Tang, X., Arvanitis, M. A., Yang, V., Stark, N., Liu, C., ... & Zhu, J. Y. (2021). Colloidal lignin nanoparticles from acid hydrotropic fractionation for producing tough, biodegradable, and UV blocking PVA nanocomposite. Industrial Crops and Products, 168, 113584.
Arnold, B. C., & Arvanitis, M. A. (2020). On bivariate pseudo-exponential distributions. Journal of Applied Statistics, 47(13-15), 2299-2311.
Verrill, S. P., Owens, F. C., Arvanitis, M. A., Kretschmann, D. E., Shmulsky, R., Ross, R. J., & Lebow, P. (2020). Estimated probability of breakage of lumber of a fixed “grade” can vary greatly from mill to mill and time to time. Res. Pap. FPL-RP-705. Madison, WI: US Department of Agriculture, Forest Service, Forest Products Laboratory. 47 p., 705, 1-47.
Arvanitis, M. A. (2018). Likelihood-free estimation for some flexible families of distributions. University of California, Riverside.
Kallakas, H., Plaza, N., Crooks, C., Turner, D., Gargulak, M., Arvanitis, M. A., ... & Hunt, C. G. (2024). Effect of Protein Surface Hydrophobicity and Surface Amines on Soy Adhesive Strength. Polymers, 16(2), 202.
Considine, John, Keller, D. Steven, Arvanitis, Matthew A. and Tang, Xiaoyan. "Heterogeneity characterization of commercial structural papers" Nordic Pulp & Paper Research Journal, vol. 39, no. 2, 2024, pp. 151-176. https://doi.org/10.1515/npprj-2023-0080
Arnold, B., & Arvanitis, M. (2022). Asymmetric Univariate and Bivariate Laplace and Generalized Laplace Distributions. Journal of the Iranian Statistical Society, 20(1), 61-81.
Arnold, B. C., & Arvanitis, M. A. (2022). Univariate and Bivariate Discrete Laplace and Generalized Discrete Laplace Distributions.
Arvanitis, M. (2022). Small-sample solution to the two-sample problem for quantiles using melded random confidence intervals. FS Research Paper, 713, 1-15.
Arnold, Barry C. and Arvanitis, Matthew. "On a general class of gamma based copulas" Dependence Modeling, vol. 9, no. 1, 2021, pp. 374-384. https://doi.org/10.1515/demo-2021-0117
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