Modifications of the Test Information Function

Abstract

A minimum bound of any estimator, biased or unbiased, is considered, and, based on that, Modification Formula No. 1 is proposed for the maximum likelihood estimator, in place of the test information function. A minimum bound of the mean squared error is considered, and, based on that, Modification Formula No. 2 in the same context is proposed. Examples are given, and the usefulnesses of these modified test information functions in computerized adaptive testing are discussed. These topics are also discussed and observed for the monotonically transformed latent variable.

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 1990
Accession Number
ADA224698

Entities

People

  • Fumiko Samejima

Organizations

  • University of Tennessee

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Asymptotic Normality
  • Bias
  • Classification
  • Cognitive Science
  • Comprehension
  • Distribution Functions
  • Estimators
  • Normal Distribution
  • Numbers
  • Plastic Explosives
  • Psychology
  • Security
  • Square Roots
  • Tennessee
  • United States
  • Universities

Fields of Study

  • Mathematics

Readers

  • Statistical inference.