Published (45)

3.   Crookston, K.A., T.M. Young, D. Harper, and F.M. Guess.  2011.  A comparison of two 
      wood plastic composite extrusion processes using statistical reliability analysis.  Reliability 
      Engineering and System Safety.  96(2011):172-177. doi 10.1016/j.ress.2010.08.005.  View Article
 
4.      Steele, J.C., F.M. Guess, T.M. Young, and D.J. Edwards.  2010.  Mean residual life.  
      Springer's International Lexicon of Statistical Sciences. Part 13, 791-792, 
      Editor: Dr. Miodrag Lovric. Springer. doi 10.1007/978-3-642-04898-2_35
      http://www.springerlink.com/content/h22523051275j2h6/
 
5.      Singh, M., F.M. Guess, T.M. Young, and L. Liu.  2010.  Dynamic system simulations 
of randomness for decision making.  International Encyclopedia of Statistical 
Science. Springer, New York.  Part 13, 839-841. Editor: Dr. Miodrag Lovric. Springer. 
      doi 10.1007/978-3-642-04898-2_37 
      http://www.springerlink.com/content/x41g2898187x5l5t/
 
6.   Kim, H., F.M. Guess, and T.M. Young.  2011.  An extension of regression trees to 
      generate better predictive models.  IIE Transactions. 43(10): in press  
      doi: 10.1080/0740817X.2011.590441.  
 
7.      Edwards, D.J., F.M. Guess, and T.M. Young.  2010.  Bootstrap confidence intervals for 
      percentiles of reliability of modern engineered wood.  Wood Science and Technology.  
      45:533-546. doi 10.1007/s00226-010-0346-2 View Article
 
8.     Young, T.M., J. Chastain, F.M. Guess, and R.V. León.  2009.  Estimating upper 
      percentiles of strand thickness for oriented strand board.  Forest Products Journal.  
59(10):79-88.  View Article
 
9.      Chastain, J., T.M. Young, F.M. Guess, H. Bensmail, and R.V. León.  2009.  Using 
reliability analyses to characterize wood strand thickness for oriented strand board 
panels.  International Journal of Reliability and Application. 10(4):89-99. View Article
 
10.      Taylor, A., T.M. Young, and F.M. Guess.  2009.  Estimating the error in the moisture 
content of white oak kiln sample boards.  Drying Technology. 27(10):1235-1239.   
 
11.   Muelhbacher, J., A. Taylor, and T.M. Young.  2009.  The relative moisture content of 
      sorted, air drying red oak lumber.  Forest Products Journal.  59(5):61-62.
 
12.  Young, T.M., D.G. Perhac, F.M. Guess, and R.V. León. 2008. Bootstrap confidence 
      intervals for percentiles of reliability data for wood plastic composites.  Forest Products 
      Journal.  58(11):106-114. View Article
 
13.  Young, T.M., L.B. Shaffer, F.M. Guess, H. Bensmail, and R.V. León.  2008.  A comparison 
      of multiple linear regression and quantile regression for modeling the internal bond of medium
      density fiberboard.  Forest Products Journal.  58(4):39-48. View Article
 
14.  Clapp, N.E., Jr., T.M. Young, and F.M. Guess.  2008.  Predictive modeling the internal bond 
      of medium density fiberboard using a modified principal component analysis.  Forest Products
      Journal.  58(4):49-55.  View Article
 
15.  Shaffer, L.B., T.M. Young, F.M. Guess, H. Bensmail, and R.V. León.  2008.  Using R 
      software for reliability data analysis.  International Journal of Reliability and Application.  
      9(1):53-70.  View Article IJRA Journal Link 
 
16.  André, N., H.W. Cho, S.H. Baek, M.K. Jeong, and T.M. Young.  2008.  Enhanced prediction
      of internal bond strength in a medium density fiberboard process using multivariate methods 
      and variable selection.  Wood Science and Technology. 42:521-534. 
      doi 10.1007/s00226-008-0204-7. View Article
 
17.  Labbé, N., I.S. Swamidoss, N. André, M.Z. Martin, T.M. Young and T.G. Rials.  2008.  
      Extraction of information from laser-induced breakdown spectroscopy spectral data by 
      multivariate analysis.  Applied Optics. 47(31):G158-G165.
 
18. Young, T.M., B.H. Bond, and J. Wiedenbeck.  2007.  Implementation of a real-time statistical
      process control system in hardwood sawmills.  Forest Products Journal.  57(9):54-62.
      View Article 
 
19.  Young, T.M., D.G. Hodges, and T.G. Rials.  2007.  The Forest Products Economy of 
      Tennessee.  Forest Products Journal.  57(4):12-19. 
 
20.  Wang, Y., T.M. Young, F.M. Guess, and R.V. León.  2007.  Exploring reliability of 
      oriented strand board’s tensile and stiffness strengths.  International Journal of Reliability and 
      Application.  8(1):113-126. View Article 
 
21.  Perhac, D.G., T.M. Young, F.M. Guess, and R.V. León.  2007.  Exploring reliability of 
      wood-plastic composites: stiffness and flexural strengths.  International Journal of Reliability
      and Application.  8(2):153-173.  View Article
 
22.  André, N., T.M. Young, and T.G. Rials.  2006.  On-line monitoring of the buffer capacity of 
      particleboard furnish by near-infrared spectroscopy. Applied Spectroscopy. 60(10):1204-1209.
 
23.  Guess, F.M., J.C. Steele, T.M. Young, and R.V. León.  2006.  Applying novel mean residual 
       life confidence intervals.  International Journal of Reliability and Application. 7(2):177-186.
       View Article
 
24.  Chen, W., R.V. León, T.M. Young, and F.M. Guess. 2006. Applying a forced censoring 
      technique with accelerated modeling for improving estimation of extremely small percentiles 
      of strengths. International Journal of Reliability and Application. 7(1):27-39. View Article
 
25.  Guess, F.M., X. Zhang, T.M. Young, and R.V. León. 2005. Using mean residual life functions
      for unique insights into strengths of materials data. International Journal of Reliability and
      Application. 6(2):79-85. View Article
 
26.  Gu, H., T.M. Young, W.W. Moschler and B.H. Bond.  2004.  Potential sources of variation
      that influence the final moisture content of kiln dried hardwood lumber.  Forest Products 
      Journal.  54(11):65-70. View Article
 
27.  Wang, S., P.M. Winistorfer, and T.M. Young.  2004.  Fundamentals of vertical densit profile
      formation in wood composites – Part 3.  MDF density formation during hot-pressing.  Wood 
      and Fiber Science. 36(1):17-25.  View Article
 
28.  Guess, F.M., R.V. León, W. Chen, and T.M. Young.  2004.  Forcing a closer fit in the lower
      tails of a distribution for better estimating extremely small percentiles of strengths.  
      International Journal of Reliability and Application.  5(4):129-145. View Article
 
29.  Guess, F.M., D.J. Edwards, T.M. Pickrell, and T.M. Young.  2003.  Exploring graphically and
      statistically the reliability of medium density fiberboard.  International Journal of Reliability
      and Application.  4(4):157-170. View Article
 
30.  Young, T.M. and F.M. Guess.  2002.  Developing and mining higher quality information in 
      automated relational databases for forest products manufacture.  International Journal of 
      Reliability and Application. 3(4):155-164. View Article 
 
31.  Young, T.M. and F.M. Guess.  2002.  A statistical analysis of tree-harvesting worker safety.
       International Journal of Reliability and Application.  3(2):59-79. View Article
 
32.  Young, T.M. and P.M. Winistorfer.  2001.  The effects of autocorrelation on real-time 
       statistical process control with practical solutions for the forest products industry.  Forest 
       Products Journal.  51(12):70-77. View Article 
 
33.  Wang, S., P.M. Winistorfer, T.M. Young, and C. Helton. 2001. Step-closing pressing of 
      medium density fiberboard. Part 2: Influences on the panel performance and layer 
      characteristics. Holz als Roh-und Werkstoff. 59(5):311-318. View Abstract

 
34.  Wang, S., P.M. Winistorfer, T.M. Young, and C. Helton. 2001. Step-closing pressing of 
medium density fiberboard. Part 1: Influence on the vertical density profile. Holz als 
Roh-und Werkstoff. 59(1/2):19-26. View Abstract 
 
35.  Young, T.M., P.M. Winistorfer, and S. Wang.  1999.  Multivariate control charts of 
       vertical density profile attributes.  Forest Products Journal. 49(5):79-86. View Article
 
36.  Young, T.M. and P.M. Winistorfer.  1999.  Statistical process control and the forest products
       industry. Forest Products Journal. 49(3):10-17. View Article
 
37.  Winistorfer, P.M., T.M. Young, and E. Walker.  1996.  Modeling and comparing vertical 
       density profiles.  Wood and Fiber Science.  28(1):133-141. View Article
 
38.  Young, T.M. and F.M. Guess.  1994.  Reliability processes and corporate structures.  
       Microelectronics and Reliability.  34(6):1107-1119.
 
39.  Idassi, J.O., T.M. Young, P.M. Winistorfer, D.M. Ostermeier, and R.B. Woodruff. 1994. A 
      customer-oriented marketing method for hardwood lumber companies.  Forest Products 
      Journal.  44(7/8):67-73. View Article
 
40.  Graveel, J.G., T.M. Young, M. Balbach, D.A. Munn, and J.S. Panter.  1993.  Journal of 
       Natural Resources and Life Sciences Education: why the new title and scope? Journal of 
       Natural Resources and Life Sciences Education. 22(2):81-86. View Article
 
41.  Young, T.M., D.M. Ostermeier, J.D. Thomas, and R.T. Brooks.  1991.  The economic 
      availability of woody biomass for the Southeastern United States.  Bioresources Technology.  
      37(1):7-16. View Article
 
42.  Young, T.M., D.M. Ostermeier, and D.W. Domenech.  1988.  Average wood chip trucking 
       costs for the Southeastern United States.  Southern Journal of Applied Forestry.  
       12(4):267-269. View Article 
 
43.  Ostermeier, D.M., T.M. Young, and L.A. Weaver.  1988.  Fossil-fuel-using industries: their 
       awareness and perceptions of wood energy.  Forest Products Journal. 38(10):53-58. 
       View Article
 
44.  Young, T.M. and D.M. Ostermeier.  1986.  A survey of nonforest products industrial wood 
       energy users.  Forest Products Journal. 37(2):57-61. View Article
 
45.  Boungiorno, J.B. and T.M. Young.  1984.  Statistical appraisal of timber with an application 
       to the Chequamegon National Forest.  Northern Journal of Applied Forestry. 1(4):72-76. 
       View Article
 
Refereed Proceedings (4)

Proceedings (23)

1.      Young, T.M., A.J. Hartsell, J.H. Perdue, D.G. Hodges, R.C. Abt, and T.G. Rials. 2009. A

      real-time, web-based optimal biomass site assessment tool (BioSAT) – An economic 

      assessment of biomass for the 33 eastern United States.  Proc. International Conference on

      Woody Biomass Utilization.  Mississippi State University. Starkville, MS. In Press.

2.