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Displaying records 21 to 24.
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21. Prediction and Three-Dimensional Monte-Carlo Simulation for Tensile Properties of Unidirectional Hybrid Composites
Topic: Statistics
Published: 4/1/2005
Authors: Martin Y Chiang, Xianfeng Wang, Carl R. Schultesiz
Abstract: A three-dimensional fiber tow-based analytical model incorporating shear-lag theory and a statistical strength distribution has been used to simulate the tensile properties and predict the tensile strength of unidirectional hybrid composites. The hy ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=852251

22. NIST-Sponsored Interlaboratory Comparison of Polystyrene Molecular Mass Distribution Obtained by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry: Statistical Analysis
Topic: Statistics
Published: 3/1/2001
Authors: Charles Martin Guttman, S Wetzel, William R. Blair, B M Fanconi, Kathleen M. Flynn, R J Goldschmidt, William E Wallace III, David Lloyd VanderHart
Abstract: Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS) is becoming a new and important technique in synthetic polymer characterization. Yet much is still unknown about the molecular mass distribution (MWD) which ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=851614

23. Statistical Analysis of NIST Interlaboratory Comparison of Polystyrene Molecular Mass Distribution Obtained by MALDI TOF MS
Topic: Statistics
Published: 1/1/1999
Authors: S Wetzel, Charles Martin Guttman, Kathleen M. Flynn
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=853725

24. Ensemble Neural Network Model for Predicting the Energy Consumption of a Milling Machine
Topic: Statistics
Published: Date unknown
Authors: Ronay Ak, Moneer M Helu, Sudarsan Rachuri
Abstract: Accurate prediction of the energy consumption is critical for energy-efficient production systems. However, the majority of the existing prediction models aim at providing only point predictions and can be affected by the uncertainties in the mod ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=918085



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