Program in Brief

  • Contributed Papers:
  • Tractable Analysis of Experiments on High-dimensional Simulation Codes
    Matthew Plumlee, University of Michigan

    Computational Geometry for Multivariate Statistics

    John Nolan, American University

    Statistical Design and Validation of Modeling and Simulation (M&S) Tools Used in Operational Tesitng
    Kelly McGinnity and Laura Freeman, Institute for Defense Analyses

    Learning Bayesian Network Structure using Data from Designed Simulation Experiments
    Jarom Ballantyne, Terril Hurst, Allan Mense, Raytheon Missile Systems

    Modeling Adversarial Sensor Networks Using Generalized Stochastic Petri Nets
    Terril Hurst, Kris Kukla, Daniel Rosser, James Kimmet, Ratytheon Missile Systems

    Derivation of the Distribution Function for the Tampered Brownian Motion Process Model
    Arthur Fries, Institute for Defense Analysis

    Summary of Findings and Recommendations from the National Research Council Report on "Reliability Growth: Enhancing Defense System Reliability"
    Arthur Fries, (Chair) Institute for Defense Analyses, W. Peter Cherry, Science Applications International Corporation, Robert Easterling, Statistical Consultant, Elsayed A. Elsayed, Rutgers University, Aparnav Huzurbazar, Los Alamos National Laboratory, Patricia A. Jacobs, Naval Postgraduate School, William Q. Meeker, Jr., Iowa State University, Nachi Nagappan, Microsoft Research, Michael Pecht, University of Maryland, Ananda Sen, University of Michigan, Scott Vander Wiel, Los Alamos National Laboratory, Constance F. Citro, Director, Committee on National Statistics, Michael L. Cohen, Study Director, Michael J. Siri, Program Associate

    Modeling an Augmented Lagrangian for Blackbox Constrained Optimization
    Robert Gramacy, University of Chicago

    Maximum Likelihood Estimation of a Non-homogeneous Poisson Process Software Reliability Model with the Expectation Conditional Maximization Algorithm
    Vidhyashree Nagaraju1, Thierry Wandji2, and Lance Fiondella1*
    University of Massachusetts1, Naval Air Systems Command2

    Bayesian Hierarchical Models for Common Components Across Multiple System Configurations
    Kassie Fronczyk1, Rebecca Dickinson1, Alyson Wilson2, Caleb Browning2, and Laura Freeman1
    Operational Evaluation Division, Institute for Defense Analyses1 and Department of Statistics,
    North Carolina State University2

    Estimating System Reliability from Heterogeneous Data
    Caleb Browning1, Laura Freeman2, Alyson Wilson1, Kassie Fronczyk2, and Rebecca Dickinson2
    Department of Statistics, North Carolina State University1, Operational Evaluation Division, Institute for Defense Analyses2

    Ammunition Projectile Chemical Coating Experiment with Design Oriented Modeling
    Doug Ray, U.S. Army Armament Research, Development and Engineering Center (ARDEC),
    Tom Donnelly, SAS Institute Inc., JMP Division

    A Design of Experiments approach to evaluating Parameterization Schemes for Numerical Weather Prediction (Clinical Paper)
    Jeffrey A. Smith, US Army Research Laboratory and Richard Penc, US Army Research Laboratory through the Oak Ridge Associated Universities

  • Events:
    Mixer, Wednesday, 21 October
  • Wilks Luncheon, Thursday, 22 October

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