SOME THOUGHTS ON THE USE AND MISUSE OF STATISTICAL INFERENCE

Abstract

The basic principle underlying all statistical inference is that one attempts to distinguish the process actually being observed from alternative possible versions of that process on the basis of expected differences in the outcomes produced by these versions. The use of predictive models which do not describe the behavior of the alternatives among which we wish to distinguish, or of techniques based on such models, is a clear violation of this principle.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1969
Accession Number
AD0681109

Entities

People

  • Ralph E. Strauch

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Agreements
  • Data Science
  • Decision Theory
  • Information Science
  • Judgment
  • Mathematical Models
  • Models
  • Predictive Modeling
  • Probability
  • Sampling
  • Standards
  • Statistical Inference
  • Statistical Samples
  • Statistical Sampling
  • Statistics
  • Surveys

Fields of Study

  • Mathematics
  • Psychology

Readers

  • Educational Psychology
  • Organizational Psychology.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks