Influential Nonnegligible Parameters Under the Search Linear Model.

Abstract

In this paper some results useful in detecting the Influential Nonnegligible parameters under the search linear model are presented. An estimator of the number of nonnegligible parameters which are significant and influential is also given.

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Document Details

Document Type
Technical Report
Publication Date
Apr 25, 1986
Accession Number
ADA172007

Entities

People

  • Subir Ghosh

Organizations

  • University of California, Riverside

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  • Abstracts
  • Air Force
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  • Classification
  • Combinatorial Analysis
  • Data Science
  • Estimators
  • Information Science
  • Mathematics
  • Multivariate Analysis
  • New York
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Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.