## 2 Material and Methods
### Description of Predictor Variables  
Process data are from sensors on the production line and are related to line speed, pressing speed, pressing pressure, pressing temperature, fiber moisture, etc. Both the MDF and OSB processes have a variation in all of the variables during the normal manufacturing process. Line speed typically is product specific, i.e., faster speeds for thinner and lower density products and slower speeds for thicker, higher density products. For example the predictor variable for OSB called 'wet bin speed' is directly related to line speed given that the bin that holds the flakes are emptied is a function of line speed. Line speed also changes because of moisture content changes in the fibers during the pressing stage. Pressing occurs under pressure and high temperature for the curing of the bonding of fibers and adhesives during the pressing stage. Fiber moisture may change during the manufacturing process due to natural variation in the feedstocks and variations in the temperatures during the drying process. The predictor variables reported in this manuscript are given descriptive names as related to these processes, e.g., 'flake moisture content' is the moisture content of the OSB flakes, 'total press time' is the time the material resides in the pressing stage,'mat weight' is the actual weight of the formed fiber mats before the pressing stage, etc. The MDF process is different from the OSB process primarily in the early stages of the process, where wood is refined to small fibers with lengths of 1.34-1.84 mm. The predictor variables named 'face plate position' refer to the gap in grinding plates during the wood to fiber refining stage and 'face steam flow' refers to how much steam is injected into the refiners that create the fibers. Descriptions of the MDF and OSB processes are documented in [15; 16].  
\begin{table}
\begin{tabular}{c c c} \hline \hline \multicolumn{3}{c}{**Tensile Strength-Model Comparisons**} \\ \hline
**Distribution** & **AIC** & **BIC** \\ Normal & 4966.5326 & 4975.3464 \\ Generalized Gamma & 4967.6229 & 4980.8336 \\ Log Generalized Gamma & 4967.6304 & 4980.8411 \\ Lognormal & 4970.1264 & 4978.9402 \\ Logistic & 4978.8342 & 4987.6480 \\ Loglogistic & 4981.3085 & 4990.1222 \\ Weibull & 5028.7795 & 5037.5932 \\ LEV & 5044.7598 & 5053.5736 \\ SEV & 5087.5301 & 5096.3439 \\ Frechet & 5110.6015 & 5119.4153 \\ Exponential & 7255.9066 & 7260.3168 \\ \hline \multicolumn{3}{c}{**Ultimate Static Load-Model Comparisons**} \\ \hline
**Distribution** & **AIC** & **BIC** \\ Normal & \(-\)524.1410 & \(-\)518.2014 \\ Generalized Gamma & \(-\)522.2338 & \(-\)513.3663 \\ Log Generalized Gamma & \(-\)522.0893 & \(-\)513.2218 \\ Lognormal & \(-\)521.9522 & \(-\)516.0125 \\ Logistic & \(-\)518.1157 & \(-\)512.1760 \\ Loglogistic & \(-\)516.7510 & \(-\)510.8113 \\ Weibull & \(-\)516.6517 & \(-\)510.7120 \\ SEV & \(-\)507.4300 & \(-\)501.4904 \\ LEV & \(-\)504.8098 & \(-\)498.8702 \\ Frechet & \(-\)491.4876 & \(-\)485.5480 \\ Exponential & 30.1596 & 33.1432 \\ \hline \hline \end{tabular}
\end{table}
Table 1: Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC) statistics for tensile strength pdfs of medium density fiberboard (MDF) and ultimate static load of oriented strand board (OSB).