Skip to main content

Linear Discriminant Analysis of Normal Populations with Coinciding Covariance Matrices

  • Chapter
Multivariate Statistical Analysis

Part of the book series: Theory and Decision Library ((TDLB,volume 41))

  • 1581 Accesses

Abstract

We consider the problem of the discrimination of a vector x = (x1, … , x n ) from one of two populations S1 and S2 with common unknown covariance matrix Σ =cov (x, x).

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer Science+Business Media New York

About this chapter

Cite this chapter

Serdobolskii, V. (2000). Linear Discriminant Analysis of Normal Populations with Coinciding Covariance Matrices. In: Multivariate Statistical Analysis. Theory and Decision Library, vol 41. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9468-4_10

Download citation

  • DOI: https://doi.org/10.1007/978-94-015-9468-4_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5593-4

  • Online ISBN: 978-94-015-9468-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics