Some Statistical Inference Problems in Data Fusion and Semi-Parametric Regression

Abstract

The proposal dealt with several problems in the areas of data fusion and semi-parametric regression models. The problems were formulated specifically in the context of linear models, both univariate and multivariate. Some data fusion problems that arise in the area of calibration has been successfully solved. In addition, in the context of the calibration problem, univariate as well as multivariate, several satisfactory confidence regions have been constructed and applied to real data. In the same spirit, confidence regions and tests in some linear functional relationship models have been derived as well.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1996
Accession Number
ADA332545

Entities

Organizations

  • University of Maryland, Baltimore

Tags

DTIC Thesaurus Topics

  • Air Force
  • Calibration
  • Classification
  • Data Fusion
  • Data Sets
  • Information Operations
  • Information Processing
  • Information Science
  • Maryland
  • Mathematics
  • Scientific Research
  • Security
  • Sequences
  • Statistical Inference
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Naval Personnel Management
  • Operations Research

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms