Skip to main content
SpringerLink
Log in

Unobserved Variables

Models and Misunderstandings

  • Book
  • © 2013

Overview

Authors:
  1. David J. Bartholomew

    1. London School of Economics, London, United Kingdom

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (13 chapters)

  1. Front Matter

    Pages i-vii
    Download chapter PDF

  2. Unobserved Variables

    • David J. Bartholomew
    Pages 1-7

  3. Measurement, Estimation and Prediction

    • David J. Bartholomew
    Pages 9-12

  4. Simple Mixtures

    • David J. Bartholomew
    Pages 13-19

  5. Models for Ability

    • David J. Bartholomew
    Pages 21-27

  6. A General Latent Variable Model

    • David J. Bartholomew
    Pages 29-32

  7. Prediction of Latent Variables

    • David J. Bartholomew
    Pages 33-37

  8. Identifiability

    • David J. Bartholomew
    Pages 39-46

  9. Categorical Variables

    • David J. Bartholomew
    Pages 47-53

  10. Models for Time Series

    • David J. Bartholomew
    Pages 55-60

  11. Missing Data

    • David J. Bartholomew
    Pages 61-67

  12. Social Measurement

    • David J. Bartholomew
    Pages 69-76

  13. Bayesian and Computational Methods

    • David J. Bartholomew
    Pages 77-82

  14. Unity and Diversity

    • David J. Bartholomew
    Pages 83-86
Back to top

Keywords

About this book

​The classical statistical problem typically involves a probability distribution which depends on a number of unknown parameters. The form of the distribution may be known, partially or completely, and inferences have to be made on the basis of a sample of observations drawn from the distribution; often, but not necessarily, a random sample. This brief deals with problems where some of the sample members are either unobserved or hypothetical, the latter category being introduced as a means of better explaining the data. Sometimes we are interested in these kinds of variable themselves and sometimes in the parameters of the distribution. Many problems that can be cast into this form are treated. These include: missing data, mixtures, latent variables, time series and social measurement problems. Although all can be accommodated within a Bayesian framework, most are best treated from first principles.

Authors and Affiliations

  • London School of Economics, London, United Kingdom

    David J. Bartholomew

About the author

David Bartholomew is Professor Emeritus of Statistics at the London School of Economics. He graduated from University College London and worked as a lecturer and then senior lecturer in statistics at the University College of Wales, followed by appointment to a chair in statistics at the University of Kent. He was then Professor of Statistics at the London School of Economics until his retirement in 1996. He is a Fellow of the British Academy, a Member of the International Statistical Institute, a Fellow of the Institute of Mathematical Statistics and has served as Honorary Secretary, Treasurer and President of the Royal Statistical Society. The focus of his recent research has been latent variable models and factor analysis

Bibliographic Information

  • Book Title: Unobserved Variables

  • Book Subtitle: Models and Misunderstandings

  • Authors: David J. Bartholomew

  • Series Title: SpringerBriefs in Statistics

  • DOI: https://doi.org/10.1007/978-3-642-39912-1

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Author(s) 2013

  • Softcover ISBN: 978-3-642-39911-4Published: 16 September 2013

  • eBook ISBN: 978-3-642-39912-1Published: 07 September 2013

  • Series ISSN: 2191-544X

  • Series E-ISSN: 2191-5458

  • Edition Number: 1

  • Number of Pages: VII, 86

  • Number of Illustrations: 5 b/w illustrations

  • Topics: Statistics, general

Publish with us

Policies and ethics

Back to top

Search

Navigation