Introduction

  • Matilde Bini
  • Paola Monari
  • Domenico Piccolo
  • Luigi Salmaso
Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)

Abstract

In many fields of application most of the variables under investigation are not directly observable and hence not measurable. In these contexts latent variable models assume a prominent role. Their origins can be traced back to the early twentieth century, notably in the study of human abilities.

Keywords

Item Response Theory Item Response Theory Model Latent Variable Model Manifest Variable Initial Subset 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica-Verlag Heidelberg 2009

Authors and Affiliations

  • Matilde Bini
    • 1
  • Paola Monari
    • 2
  • Domenico Piccolo
    • 3
  • Luigi Salmaso
    • 4
  1. 1.Department of Statistics “G. Parenti”University of FlorenceFlorenceItaly
  2. 2.Department of Statistical SciencesUniversity of BolognaBolognaItaly
  3. 3.Department of Statistical SciencesUniversity of Naples Federico IINapoliItaly
  4. 4.Department of Management and EngineeringUniversity of PaduaVicenzaItaly

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