Statistical Inference Problems in Some Multivariate Linear Models with Applications to Multivariate Calibration and Meta-Analysis.

Abstract

The proposal addressed some statistical inference problems in the areas of multivariate calibration and meta-analysis. Multivariate calibration deals with using the statistical relationship between a response variable and an explanatory variable for statistical inference concerning an unknown value of the explanatory variable using available data. The problems that have been solved deal with the construction of confidence regions for the unknown value of the explanatory variable. Satisfactory solutions to some open problems in this area have been obtained. Meta-analysis deals with combining several independent tests concerning a common parameter. Five papers have been written based on the proposal, of which three are already published. In addition, two papers are currently under preparation. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1994
Accession Number
ADA291125

Entities

People

  • Thomas Mathew

Organizations

  • University of Maryland, Baltimore

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Traffic
  • Anomaly Detection
  • Behavioral Sciences
  • Calibration
  • Change Detection
  • Computer Science
  • Construction
  • Estimators
  • Maryland
  • Military Operations
  • Normal Distribution
  • Scientific Research
  • Simulations
  • Statistical Inference
  • Universities
  • Wishart Matrices

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference