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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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Economics, Statistics and Life Cycle Analysis Research

Project Title :  Improve statistical modeling of wood, fiber and composite properties, processing and performance
Project Number : FPL-4851-2B
Status : NEW
Start Date : 10-01-2012
End Date : 09-30-2019

View the 17 publications associated with this project.

Principal Investigator:
James W. Evans

Non Technical Summary
PhotoWork under this problem area will develop new statistical methods needed to improve the performance of solidwood products, wood-fiber (paper type) products and composite wood products.

Objectives Summary
Develop new statistical tools and evaluate existing tools that will be critical to the innovative research by FPL scientists and to the FPL mission.

Approach Summary
For example, new methods of engineering design that will conserve wood and thereby sustain wood resources will require development and application of refined statistical methods. Wood design has progressed from deterministic design methods to reliability-based design methods that are more dependent on statistical methods. Also, modeling multidimensional dependencies among wood properties requires the development of appropriate bivariate distributions for use in wood property estimation. As our options for characterizing wood properties increase, we need to know how to choose which distributional form best represents the data or whether to use methods that do not assume a distributional form.

Publications associated with this Project

Publication YearTitleDate Posted
2018A fit of a mixture of bivariate normals to lumber stiffness—strength data09/21/18
2015Asymptotically Efficient Estimation of a Bivariate Gaussian-Weibull Distribution and an Introduction to the Associated Pseudo-truncated Weibull11/12/15
2018Distributions of MOE and MOR in a full lumber population09/27/18
2020Distributions of MOE and MOR in eight mill-run lumber populations (four mills at two times)08/14/20
2019Distributions of modulus of elasticity and modulus of rupture in four mill run lumber populations09/27/19
2020Estimated probability of breakage of lumber of a fixed “grade” can vary greatly from mill to mill and time to time08/21/20
2019Forest Products Laboratory contributions to the use of Weibull distribution in wood engineering09/26/19
2016Maximum likelihood estimation of the parameters of a bivariate Gaussian-Weibull distribution from machine stress-rated data08/24/16
2015Problems with a Type of Matched Subjects Design and Analysis09/08/16
2019Procedures for estimation of Weibull parameters03/07/19
2014Reliability Implications in Wood Systems of a Bivariate Gaussian-Weibull Distribution and the Associated Univariate Pseudo-truncated Weibull09/09/14
2017Reminder about potentially serious problems with a type of blocked ANOVA analysis09/05/17
2019Simulations of nonparametric analyses of predictor sort (matched specimens) data09/05/19
2017Simulations of solid lumber strength property monitoring tests06/20/17
2017Statistical models for the distribution of modulus of elasticity and modulus of rupture in lumber with implications for reliability calculations12/07/17
2019Visual and MSR grades of lumber are not 2-parameter Weibulls and why this may matter09/06/19
2019Visual and MSR grades of lumber are not two-parameter Weibulls and why it matters (with a discussion of censored data fitting)03/06/20

Project Summaries last modified: 08-22-2018