Search Results - "Guess, Frank M."

Improved estimation of the lower percentiles of material properties by Edwards, David J., Guess, Frank M., Young, Timothy M.

“…Estimating lower percentiles in reliability for medium-density fiberboard is an important issue for manufacturers for better assessing and improving…”
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Predicting and Correlating the Strength Properties of Wood Composite Process Parameters by Use of Boosted Regression Tree Models by Carty, Dillon M, Young, Timothy M, Zaretzki, Russell L, Guess, Frank M, Petutschnigg, Alexander

“…Predictive boosted regression tree (BRT) models were developed to predict modulus of rupture (MOR) and internal bond (IB) for a US particleboard manufacturer…”
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Statistical reliability analyses of two wood plastic composite extrusion processes by Crookston, Kevin A., Mark Young, Timothy, Harper, David, Guess, Frank M.

“…Estimates of the reliability of wood plastic composites (WPC) are explored for two industrial extrusion lines. The goal of the paper is to use parametric and…”
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Improving estimates of critical lower percentiles by induced censoring by Edwards, David J., Guess, Frank M., León, Ramón V., Young, Timothy M., Crookston, Kevin A.

“…In this article, we present an approach based on induced censoring for improving the estimation of critical lower percentiles. We validate this technique via…”
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Predicting Key Reliability Response with Limited Response Data by Young, Timothy M., Clapp, Ned E., Guess, Frank M., Chen, Chung-Hao

“…In this article, real-time process data are aligned in time order with periodic destructive test data on wood composite panel strength for the purpose of…”
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Robustly Estimating Lower Percentiles When Observations Are Costly by Young, Timothy M., León, Ramón V., Chen, Chung-Hao, Chen, Weiwei, Guess, Frank M., Edwards, David J.

“…This article illustrates the effective use of Bayesian methods for the estimation of lower percentiles for the breaking strengths of materials. The method is…”
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LOGISTIC REGRESSION MODELS OF FACTORS INFLUENCING THE LOCATION OF BIOENERGY AND BIOFUELS PLANTS by Timothy M. Young, Russell L. Zaretski, James H. Perdue, Frank M. Guess, Xu Liu

“…Logistic regression models were developed to identify significant factors that influence the location of existing wood-using bioenergy/biofuels plants and…”
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Comparison of Two Wood Plastic Composite Extruders Using Bootstrap Confidence Intervals on Measurements of Sample Failure Data by Edwards, David J., León, Ramón V., Young, Timothy M., Guess, Frank M., Crookston, Kevin A.

“…Wood plastic composite (WPC) boards are an emerging engineered wood composite that is a substitute for solid wood and other wood composite materials used for…”
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Estimation of Error From Treating Travel Time as Additional Repair Time by Yanzhen Li, Kaixiang Tao, Leon, R V, Guess, F M

“…We consider the unavailability of a two-unit parallel system with one traveling repair person, and common statistically independent exponential unit life…”
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comparison of multiple linear regression and quantile regression for modeling the internal bond of medium density fiberboard by Young, T.M, Shaffer, L.B, Guess, F.M, Bensmail, H, Leon, R.V

“…Multiple linear regression (MLR) and quantile regression (QR) models were developed for the internal bond (IB) of medium density fiberboard (MDF). The data set…”
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Estimating upper percentiles of strand thickness for oriented strand board by Young, Timothy M, Guess, Frank M, Chastain, Jennifer S, Leon, Ramon V

“…Statistical reliability methods are applied to estimate the upper percentiles of strand thickness for the face layers of oriented strand board (OSB) panels…”
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Bootstrap confidence intervals for percentiles of reliability data for wood-plastic composites by Young, Timothy M, Perhac, Diane G, Guess, Frank M, Leon, Ramon V

“…Improving product reliability is an important goal that may be achieved from a better understanding of the product's lower percentiles. These lower percentiles…”
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Predictive modeling the internal bond of medium density fiberboard using a modified principal component analysis by Clapp, N.E. Jr, Young, T.M, Guess, F.M

“…In this paper, real-time process data are aligned in time-order with destructive test data to reduce cost by better predictive modeling. A modified principal…”
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An extension of regression trees to generate better predictive models by Kim, Hyunjoong, Guess, Frank M., Young, Timothy M.

“…For situations where the data are drawn from reasonably homogeneous populations, traditional methods such as multiple regression typically yield insightful…”
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Bayes estimation of component-reliability from masked system-life data by Lin, D.K.J., Usher, J.S., Guess, F.M.

“…This paper estimates component reliability from masked series-system life data, viz, data where the exact component causing system failure might be unknown. It…”
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Exact maximum likelihood estimation using masked system data by Lin, D.K.J., Usher, J.S., Guess, F.M.

“…This work estimates component reliability from masked series-system life data, viz, data where the exact component causing system failure might be unknown. The…”
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Impact of Trucking Network Flow on Preferred Biorefinery Locations in the Southern United States by Young, Timothy M., Han, Lee D., Perdue, James H., Hargrove, Stephanie R., Guess, Frank M., Huang, Xia, Chen, Chung-Hao

“…The impact of the trucking transportation network flow was modeled for the southern United States. The study addresses a gap in existing research by applying a…”
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Logistic regression models of factors influencing the location of bioenergy and biofuels plants by Young, Timothy M., Zaretzki, Russell L., Perdue, James H., Guess, Frank M., Liu, Xu

“…Logistic regression models were developed to identify significant factors that influence the location of existing wood-using bioenergy/biofuels plants and…”
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Estimators for Reliability Measures in Geometric Distribution Model Using Dependent Masked System Life Test Data by Sarhan, A.M., Guess, F.M., Usher, J.S.

“…Masked system life test data arises when the exact component which causes the system failure is unknown. Instead, it is assumed that there are two observable…”
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System Reliability Theory: Models and Statistical Methods by Guess, Frank M.

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