The Role of Data and Feedback Error in Inference and Prediction

Abstract

The present research investigates two forms of uncertainty, defined operationally as error in the data, at two places within the information flow between the person and the environment. The two kinds were measurement error and system failure error. The former involved adding a random variable to the data. The latter involved the sort of error which occurs when an environmental source of data gives information unrelated to the causal or predictive process under study. These forms of error were studied in the data and also in the feedback of subjects.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1998
Accession Number
ADA348830

Entities

People

  • Lowell Schipper
  • Michael Doherty
  • Raymond O'connor
  • Ryan Tweney

Organizations

  • Bowling Green State University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Cognition
  • Data Science
  • Databases
  • Employment
  • Experimental Design
  • Information Processing
  • Information Science
  • Knowledge Management
  • Measurement
  • Personnel Management
  • Probability
  • Psychology
  • Random Variables
  • Reasoning
  • Regression Analysis
  • Reliability
  • Surveys

Readers

  • Aviation Safety Risk Assessment.
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks