Robustness in the Strategy of Scientific Model Building.

Abstract

The philosophy of robust procedures is discussed. It is argued that the present emphasis by statistical researchers on ad hoc methods of robust estimation is mistaken. Classical methods of estimation should be retained using models which more appropriately represent reality. Attention should not be confined merely to discrepancies arising from outliers and heavy tailed distributions but should be extended to include serial dependence, need for transformation and other problems. Some researches of this kind using Bayes theorem are discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1979
Accession Number
ADA070213

Entities

People

  • George E. P. Box

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Bayes Theorem
  • Carbonate Esters
  • Data Science
  • Information Science
  • Mathematics
  • Military Research
  • Normal Distribution
  • North Carolina
  • Precision
  • Probability
  • Random Variables
  • Sequences
  • Standards
  • Statistics
  • Triangles
  • United States
  • Wisconsin

Readers

  • Statistical inference.
  • Theoretical Analysis.