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Forest Products Laboratory
One Gifford Pinchot Drive
Madison, WI 53726-2398
Phone: (608) 231-9200
Fax: (608) 231-9592


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Matthew Arvanitis
Matthew Arvanitis

Matthew A. Arvanitis

Statistics, Life Cycle Analysis, and Economics Research
Unit: FPL-4851
Research Mathematical Statistician
One Gifford Pinchot Drive
Madison, WI
United States

Phone: 608-231-9334

Current Research

  • Developing New Nonparametric Techniques for Dimension Lumber Standards Testing and Evaluation
  • Modeling Modulus of Rupture (MOR) and Modulus of Elasticity (MOE) for Dimension Lumber
  • Developing New Flexible Families of Multivariate Distributions for General Applications
  • Adapting Machine Learning Methods to Life-Cycle Assessment of Forest Products and Biofuels

Research Interest

  • Distribution Theory
  • Nonparametric and Semiparametric Statistics
  • Statistical Modeling of Dimension Lumber and Engineered Wood Product Properties
  • Econometrtics and Macroeconomic Theory
  • Natural Resource Economics

Research Importance

Due to their biological origins, forest products exhibit varying characteristics which can often be difficult to predict.  When these products are used for applications such as buildings and other structures, assurances of structural integrity are critical.  For dimension lumber, a collection of lumber properties is closely monitored over time.  Our research is aimed at applying appropriate statistical models to these properties so that they accurately reflect the suitability of wood products for various building applications.  This not only provides a sound basis for building safety but can also provide new opportunities to collaborate with the building science community to establish innovative ways to make buildings more energy efficient, economically viable, and carbon neutral.


  • University of California, Riverside, Doctor Of Philosophy Applied Statistics , 2018
  • California State University, Long Beach, Master Of Science General Math , 2008
  • California State Univeristy, San Marcos, Bachelor Of Science Mathematical Sciences , 2001

Professional Organizations

  • American Statistical Association, Member (2014 - Current)
  • American Mathematical Association, Member (2012 - Current)

Below are the 5 US Forest Service publications sorted by year. You may re-sort the list by: Title, Date Posted, Category, Publication or Year.

Publication Year: 2022
Title: Small-sample solution to the two-sample problem for quantiles using melded random confidence intervals
Source: FS Research Paper
Author(s) Arvanitis, Matthew
Year: 2022   view abstract, download publication »
Publication Year: 2021
Title: Asymmetric Univariate and Bivariate Laplace and Generalized Laplace Distributions
Source: Journal of the Iranian Statistical Society
Author(s) Arnold, Barry C.; Arvanitis, Matthew
Year: 2021   view abstract, download publication »
Title: Colloidal lignin nanoparticles from acid hydrotropic fractionation for producing tough, biodegradable, and UV blocking PVA nanocomposite
Source: Industrial Crops and Products
Author(s) Wang, Huihui ; Tang, Xiaoyan ; Arvanitis, Matthew A.; Yang, Vina ; Stark, Nicole ; Liu, Chuanfu ; Considine, John M.; Zhu, J.Y.
Year: 2021   view abstract, download publication »
Title: On a general class of gamma based copulas
Source: Dependence Modeling
Author(s) Arnold, Barry C.; Arvanitis, Matthew
Year: 2021   view abstract, download publication »
Publication Year: 2020
Title: Estimated probability of breakage of lumber of a fixed “grade” can vary greatly from mill to mill and time to time
Source: Res. Pap. FPL-RP-705. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory. 47 p.
Author(s) Verrill, Steve P.; Owens, Frank C.; Arvanitis, Matthew A.; Kretschmann, David E.; Shmulsky, Rubin ; Ross, Robert J.; Lebow, Patricia
Year: 2020   view abstract, download publication »