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Frank C. Owens
Frank C. Owens
Assistant Professor, Mississippi State University
Verified email at msstate.edu
Title
Cited by
Cited by
Year
Distributions of MOE and MOR in a full lumber population
FC Owens, SP Verrill, R Shmulsky, DE Kretschmann
Wood Fiber Sci 50 (3), 265-279, 2018
232018
Field-deployable computer vision wood identification of Peruvian timbers
P Ravindran, FC Owens, AC Wade, P Vega, R Montenegro, R Shmulsky, ...
Frontiers in Plant Science 12, 647515, 2021
192021
Distributions of modulus of elasticity and modulus of rupture in four mill-run lumber populations
FC Owens, SP Verrill, R Shmulsky, RJ Ross
Wood Fiber Sci 51 (2), 183-192, 2019
192019
Statistical models for the distribution of modulus of elasticity and modulus of rupture in lumber with implications for reliability calculations.
SP Verrill, FC Owens, DE Kretschmann, R Shmulsky
Research Paper-Forest Products Laboratory, USDA Forest Service, 2017
132017
Towards Sustainable North American Wood Product Value Chains, Part I: Computer Vision Identification of Diffuse Porous Hardwoods
P Ravindran, FC Owens, AC Wade, R Shmulsky, AC Wiedenhoeft
Frontiers in Plant Science journal 12, 1-13, 2022
122022
A fit of a mixture of bivariate normals to lumber stiffness—strength data
SP Verrill, FC Owens, DE Kretschmann, R Shmulsky
Res. Paper FPL-RP-696. Madison, WI: US Department of Agriculture, Forest …, 2018
102018
Visual and MSR Grades of Lumber Are Not 2-parameter Weibulls and Why This May Matter
SP Verrill, FC Owens, DE Kretschmann, R Shmulsky, LS Brown
Journal of Testing and Evaluation 48 (5), 3946-3962, 2020
82020
Visual and MSR grades of lumber are not two-parameter Weibulls and why it matters (with a discussion of censored data fitting)
SP Verrill, FC Owens, DE Kretschmann, R Shmulsky, LS Brown
Res Pap. FPL-RP-703. Madison, WI: US Department of Agriculture, Forest …, 2019
82019
Distributions of MOE and MOR in eight mill-run lumber populations (four mills at two times)
FC Owens, SP Verrill, R Shmulsky, RJ Ross
Wood Fiber Sci 52 (2), 165-177, 2020
72020
Strength and Stiffness of 8-Inch Deep Mixed Hardwood Composite Timber Mats
FC Owens, RD Seale, R Shmulsky
BioResources 15 (2), 2495-2500, 2020
72020
Within-mill variation in the means and variances of MOE and MOR of mill-run lumber over time
GC Anderson, FC Owens, R Shmulsky, RJ Ross
Wood Fiber Sci 51 (4), 387-401, 2019
72019
Towards sustainable North American wood product value chains, part 2: computer vision identification of ring-porous hardwoods
P Ravindran, AC Wade, FC Owens, R Shmulsky, AC Wiedenhoeft
Canadian Journal of Forest Research 52 (7), 1014-1027, 2022
52022
Improved models for predicting the modulus of rupture of lumber under third point loading
S Verrill, FC Owens, R Shmulsky, R Ross
FS Research Paper 712, 1-38, 2021
52021
Estimated Probability of Breakage of Lumber of a Fixed “Grade” Can Vary Greatly from Mill to Mill and Time to Time
SP Verrill, FC Owens, MA Arvanitis, DE Kretschmann, R Shmulsky, ...
52020
Correlations between Grain Angle Meter Readings and Bending Properties of Mill-Run Southern Pine Lumber
GC Anderson, FC Owens, F Franca, RJ Ross, R Shmulsky
Forest Products Journal 70 (3), 275-278, 2020
52020
Fitting statistical distribution models to MOE and MOR in mill-run spruce and red pine lumber populations
GC Anderson, FC Owens, SP Verrill, RJ Ross, R Shmulsky
Wood and Fiber Science 53 (1), 17-26, 2021
42021
Construction of an Economic Model for Prospective Forest Products Manufacturing Facilities
JW Griffin, RD Seale, FC Owens, LA Grace
BioResources 15 (2), 3874-3887, 2020
32020
Comparison of wood utility crossarm properties from 1995 and 2015
T Catchot, FC Owens, R Shmulsky, HM Barnes
Forest Products Journal 67 (1-2), 50-54, 2017
32017
USING NONDESTRUCTIVE TESTING TO IDENTIFY PREMIUM GRADES IN SOUTHERN PINE AND DOUGLAS-FIR UTILITY CROSSARMS
T Catchot, FC Owens, R Shmulsky, RD Seale
Wood and Fiber Science 49 (1), 105-112, 2017
32017
Industrial-scale Pelletization of Southern Pine Energy Pellets with Various Additives
C Blake, J Street, J Wooten, B Mitchell, FC Owens
Applied Engineering in Agriculture 35 (6), 889-901, 2019
22019
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