An Applied Statistical Reliability Analysis of the Modulus of Elasticity and the Modulus of Rupture for Wood-Plastic Composites

I am submitting herewith a thesis written by Diane Goodman Perhac entitled “An Applied Statistical Reliability Analysis of the Modulus of Elasticity and the Modulus of Rupture for Wood-Plastic Composites”. I have examined the final electronic copy of this thesis for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Master of Science, with a major in Statistics.

[1]  B. Efron,et al.  Second thoughts on the bootstrap , 2003 .

[2]  Timothy M. Young,et al.  Applying a Forced Censoring Technique with Accelerated Modeling for Improving Estimation of Extremely Small Percentiles of Strengths , 2006 .

[3]  Timothy M. Young,et al.  Forcing a Closer Fit in the Lower Tails of a Distribution for Better Estimating Extremely Small Percentiles of Strengths , 2004 .

[4]  Timothy M. Young,et al.  Mining Information in Automated Relational Databases for Improving Reliability in Forest Products Manufacturing , 2002 .

[5]  E. Kaplan,et al.  Nonparametric Estimation from Incomplete Observations , 1958 .

[6]  Frank Proschan,et al.  Mean Residual Life: Theory and Applications , 1988 .

[7]  James T. Wassell,et al.  Bootstrap Methods: A Practitioner's Guide , 2001, Technometrics.

[8]  W. Nelson.  Statistical Methods for Reliability Data , 1998 .

[9]  W. Edwards Deming,et al.  Out of the Crisis , 1982 .

[10]  Sabu Thomas,et al.  Phase morphology, crystallisation behaviour and mechanical properties of isotactic polypropylene/high density polyethylene blends , 2004 .

[11]  Richard Y. Wang,et al.  Quality information and knowledge , 1998 .

[12]  Alan M. Polansky,et al.  Stabilizing bootstrap‐t confidence intervals for small samples , 2000 .

[13]  J. Bert Keats,et al.  Statistical Methods for Reliability Data , 1999 .

[14]  B. Efron.  Nonparametric standard errors and confidence intervals , 1981 .

[15]  Larry P. English.  Improving Data Warehouse and Business Information Quality: Methods for Reducing Costs and Increasing Profits , 1999 .

[16]  David J. Edwards,et al.  Exploring Graphically and Statistically the Reliability of Medium Density Fiberboard , 2003 .

[17]  Craig Clemons,et al.  Wood-plastic composites in the United States: the interfacing of two industries , 2002 .

[18]  B. Efron.  Better Bootstrap Confidence Intervals , 1987 .

[19]  D. Harper.  A thermodynamic, spectroscopic, and mechanical characterization of the wood-polypropylene interphase , 2003 .

[20]  B. Efron,et al.  Bootstrap confidence intervals , 1996 .

[21]  Angel R. Martinez,et al.  Computational Statistics Handbook with MATLAB , 2001 .

[22]  Frank M. Guess,et al.  Burn-in to improve which measure of reliability? , 1992 .

[23]  M. Kenward,et al.  An Introduction to the Bootstrap , 2007 .

[24]  M. Thesis,et al.  An Applied Statistical Reliability Analysis of the Internal Bond of Medium Density Fiberboard , 2004 .

[25]  Timothy M. Young,et al.  Predictive modeling the internal bond of medium density fiberboard using a modified principal component analysis , 2008 .

[26]  Michael P. Wolcott,et al.  Opportunities for wood/natural fiber-plastic composites in residential and industrial applications , 2006 .

[27]  Michael P. Wolcott,et al.  INFLUENCE OF FUNGAL DECAY AND MOISTURE ABSORPTION ON MECHANICAL PROPERTIES OF EXTRUDED WOOD-PLASTIC COMPOSITES , 2005 .

[28]  H. Akaike,et al.  Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .

[29]  Timothy M. Young,et al.  Exploring Reliability of Wood - Plastic Composites , 2007 .

[30]  Thomas C. Redman,et al.  Data Quality: The Field Guide , 2001 .

[31]  Thomas M. Loughin,et al.  Data Analysis by Resampling: Concepts and Applications , 2001, Technometrics.

[32]  Frank M. Guess,et al.  Comparing Reliabilities of the Strength of Two Container Designs: A Case Study , 2021, Journal of Data Science.

[33]  B. Moyes.  The new economics. , 2006, The Health service journal.

[34]  M. Wolcott,et al.  Chemical Imaging of Wood—Polypropylene Composites , 2006, Applied spectroscopy.

[35]  Thomas Redman,et al.  Data quality for the information age , 1996 .

[36]  R. Gosselin,et al.  Injection Molding of Postconsumer Wood–Plastic Composites II: Mechanical Properties , 2006 .

[37]  Debashis Kushary,et al.  Bootstrap Methods and Their Application , 2000, Technometrics.

[38]  A. Zauberman,et al.  The new economics , 1965 .

[39]  F. Guess,et al.  Testing Exponentiality Versus a Trend Change in Mean Residual Life , 1986 .

[40]  Ing Rj Ser.  Approximation Theorems of Mathematical Statistics , 1980 .

[41]  Timothy M. Young,et al.  Using Mean Residual Life Functions for Unique Insights into Strengths of Materials Data , 2005 .

[42]  J. Simonsen,et al.  A commercially viable compatibilizer system for wood–polyethylene composites , 2005 .

[43]  Matthew M Zawlocki.  CHARACTERIZATION OF WOOD-PLASTIC COMPOSITES BY DISSIPATED ENERGY , 2003 .

[44]  Deborah G. McCullough,et al.  Ash trees infested by emerald ash borers as raw material for wood-based composites , 2005 .

[45]  H. Bozdogan,et al.  Akaike's Information Criterion and Recent Developments in Information Complexity. , 2000, Journal of mathematical psychology.