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Showing 1 to 8 of 8 for “"Mixture Experiments"”.

  1. Understanding Scaled Prediction Variance Using Graphical Methods for Model Robustness, Measurement Error and Generalized Linear Models for Response Surface Designs

    … a special type of response surface designs, mixture experiments, and deals with adapting FDS plots for two types of measurement error which can appear due to inaccurate measurements of the individual mixture component amounts. The last part of the dissertation covers mixture experiments for …

    vt Repository record for Understanding Scaled Prediction Variance Using Graphical Methods for Model Robustness, Measurement Error and Generalized Linear Models for Response Surface Designs (opens in a new tab)

  2. One-Stage and Bayesian Two-Stage Optimal Designs for Mixture Models

    … Bayesian two-stage D-D optimal designs for mixture experiments with or without process variables under model uncertainty are developed. A Bayesian optimality criterion is used in the first stage to minimize the determinant of the posterior variances of the parameters. The second stage design …

    vt Repository record for One-Stage and Bayesian Two-Stage Optimal Designs for Mixture Models (opens in a new tab)

  3. CONFIDENCE REGIONS FOR OPTIMAL CONTROLLABLE VARIABLES FOR THE ROBUST PARAMETER DESIGN PROBLEM

    … is applicable to many situations including mixture experiments which have an inherit constraint on the control factors. It also gives the user the flexibility to put different weights on the mean and variance parts for simultaneous optimization. It turns out that the same computational …

    temple Repository record for CONFIDENCE REGIONS FOR OPTIMAL CONTROLLABLE VARIABLES FOR THE ROBUST PARAMETER DESIGN PROBLEM (opens in a new tab)

  4. Contributions to the Interface between Experimental Design and Machine Learning

    … In the statistical literature, design of experiments (DoE) is a set of systematical methods to effectively investigate the effects of input factors for the complex systems. There are few works focusing on the use of DoE methodology for evaluating the quality assurance of AI algorithms, …

    vt Repository record for Contributions to the Interface between Experimental Design and Machine Learning (opens in a new tab)

  5. Spectral analysis of total suspended solids mixtures for solids composition determination

    … three and four constituent suspended solid mixtures were made up of silt and various clays which were suspended in pure water and then captured on standard glass fiber filter. The captured mixtures of solids were spectrally scanned using a digital spectrophotometer for determination of …

    lsu-thes Repository record for Spectral analysis of total suspended solids mixtures for solids composition determination (opens in a new tab)

  6. An Investigation of Metal Sulfides as the Source of the Low Emissivity Anomaly on the Highlands of Venus

    … regimes in three different gas mixtures meant to simulate the conditions found on Venus for a period of no less than 24 hours. These samples included: Bi/Te/S, Bi2S3/Bi2Te3, Bi2S3/3Te, Pb, PbO, PbS, PbSO4, and Fe7S8. The temperature/pressure regimes simulate the conditions found …

    arkansas Repository record for An Investigation of Metal Sulfides as the Source of the Low Emissivity Anomaly on the Highlands of Venus (opens in a new tab)

  7. Large Scale Simulation of Spinodal Decomposition

    … is a process in which a system of binary mixture eventually evolves to the separation of two macroscopic phases. Such phase separation occurs in a thermodynamically unstable state. A number of binary mixture experiments have demonstrated the phenomenon of spinodal decomposition. Many …

    columbia-diss Repository record for Large Scale Simulation of Spinodal Decomposition (opens in a new tab)

  8. Contributions to Structured Variable Selection Towards Enhancing Model Interpretation and Computation Efficiency

    … heredity model is proposed for analyzing mixture-of-mixtures (MoM) experiments. The MoM experiment is different from the classical mixture experiment in that the mixture component in MoM experiments, known as the major component, is made up of sub-components, known as the minor components. …

    vt Repository record for Contributions to Structured Variable Selection Towards Enhancing Model Interpretation and Computation Efficiency (opens in a new tab)