Robust and Nonparametric Time Series, and Problems in Spatial Statistics

Abstract

This final report describes the research results obtained under Office of Naval Research Contract N00014-88-K-0265 with the University of Washington, entitled Robust and Non-parametric Time Series, and Problems in Spatial Statistics. The Principal Investigators were R. Douglas Martin and Adrian E. Raftery, Department of Statistics, University of Washington. The research carried out represents a very broad and basic program dealing with robust, non-linear, non-Gaussian and long-memory time series, and with problems in spatial analysis. One major development during this contract period has been the use, for the first time, of clustering methods to delineate the boundaries of objects in images, and its successful application to the detection of ice floes.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1990
Accession Number
ADA267994

Entities

Organizations

  • University of Washington

Tags

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  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • Computational Science
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Differential Equations
  • Equations
  • Estimators
  • Gaussian Distributions
  • Information Science
  • Operations Research
  • Probability
  • Random Variables
  • Statistical Algorithms
  • Statistics

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  • Military History
  • Statistical inference.
  • Theoretical Analysis.