Using Statistical Tools

Abstract

The briefing presented here has two goals: to review the logic behind statistical reasoning, with particular emphasis on regression techniques; and to discuss, through a series of examples, how to interpret output from regression programs. The material is organized into three sections. The first discusses model building. The second describes how regression methods can be used to fit equations to data. The third describes how to make statistical inferences about the parameters that describe a regression line or surface, and discusses potential pitfalls in making such inferences.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1984
Accession Number
ADA484000

Entities

People

  • John E. Rolph

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Availability
  • Classification
  • Cognition
  • Contracts
  • Corporations
  • Equations
  • Information Operations
  • Instructions
  • Materials
  • Mental Processes
  • Monitoring
  • Psychological Phenomena And Processes
  • Reasoning
  • Security
  • Standards
  • Statistical Inference

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Business Analytics
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference