Literature DB >> 21492134

Distributions of the Kullback-Leibler divergence with applications.

Dmitry I Belov1, Ronald D Armstrong.   

Abstract

The Kullback-Leibler divergence (KLD) is a widely used method for measuring the fit of two distributions. In general, the distribution of the KLD is unknown. Under reasonable assumptions, common in psychometrics, the distribution of the KLD is shown to be asymptotically distributed as a scaled (non-central) chi-square with one degree of freedom or a scaled (doubly non-central) F. Applications of the KLD for detecting heterogeneous response data are discussed with particular emphasis on test security. © The British Psychological Society.

Mesh:

Year:  2011        PMID: 21492134     DOI: 10.1348/000711010X522227

Source DB:  PubMed          Journal:  Br J Math Stat Psychol        ISSN: 0007-1102            Impact factor:   3.380


  3 in total

1.  Comparing the Performance of Eight Item Preknowledge Detection Statistics.

Authors:  Dmitry I Belov
Journal:  Appl Psychol Meas       Date:  2015-09-09

Review 2.  Multivariate Hypothesis Testing Methods for Evaluating Significant Individual Change.

Authors:  Chun Wang; David J Weiss
Journal:  Appl Psychol Meas       Date:  2017-10-13

3.  A flexible framework for intervention analysis applied to credit-card usage during the coronavirus pandemic.

Authors:  Anson T Y Ho; Lealand Morin; Harry J Paarsch; Kim P Huynh
Journal:  Int J Forecast       Date:  2021-12-29
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.