Assessment of Local Influence.

Abstract

The statistical analysis of a collection of data is usually based on a specified model, a mathematical formula describing the behavior of the data up to a few unknown parameters which are to be estimated from the data. The specification of a model often involves making assumptions that may have little prior support. In such situations it becomes necessary to understand if important results of an analysis are strongly dependent on the validity of assumptions underlying the model. The purpose of this paper is to provide a method for assessing the influence of minor model perturbations on the results of an analysis.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1984
Accession Number
ADA143002

Entities

People

  • R. D. Cook

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Cell Count
  • Curvature
  • Data Analysis
  • Data Science
  • Differential Geometry
  • Eigenvalues
  • Estimators
  • Geometry
  • Information Science
  • Mathematics
  • Perturbations
  • Probability
  • Regression Analysis
  • Standards
  • Statistical Analysis
  • Statistics
  • United States

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Systems Analysis and Design