Seabed Warfare And The Xluuv

Abstract

We develop an algorithm blending Sequential Importance Sampling (SIS) and Markov Chain Monte Carlo (MCMC) to conduct goodness of fit testing on three-way contingency tables under the no-three-way interaction model. Unlike previous studies, we conduct SIS utilizing the hypergeometric distribution. Further, our hybrid method capitalizes on the positive aspects of SIS and MCMC while reducing their inefficiencies. We demonstrate the algorithms performance on equal marginal data sets to highlight computational speed and accuracy. We then demonstrate the algorithm in accurately constructing the null distribution for dense tables that satisfy the asymptotic distribution assumptions. With this result in mind, we estimate the null distribution for sparse tables that violate these assumptions. Our hybrid scheme is shown, via simulation, to be more accurate than simply using the asymptotic distribution for sparse tables.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2018
Accession Number
AD1060064

Entities

People

  • Cheryl Mierzwa
  • Christopher J. Carr
  • Jahdiel Franco
  • Lewis Iv B. Shattuck
  • Melissa A. Suursoo

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Weapons Technologies

DTIC Thesaurus Topics

  • Antisubmarine Warfare
  • Detection
  • Electronic Warfare
  • Environment
  • Graphical User Interface
  • Military Organizations
  • Monte Carlo Method
  • Naval Operations
  • Navy
  • Seabed
  • Seabed Warfare
  • Surveillance
  • Systems Engineering
  • Underwater Vehicles
  • Unmanned Underwater Vehicles
  • Unmanned Vehicles
  • Warfare

Fields of Study

  • Computer science
  • Mathematics

Readers

  • Acoustical Oceanography.
  • Computational Modeling and Simulation
  • Statistical inference.