Skip to main content

Part of the book series: Lecture Notes in Statistics ((LNS,volume 28))

Abstract

The present chapter is devoted to the introduction of fundamental differential-geometrical structures of statistical models. The tangent space, the Riemannian metric and the α-connections are introduced in a statistical manifold. No differential-geometrical background is required for reading this monograph, because the present chapter provides a readable introduction to differential geometry.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
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

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

© 1985 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Amari, Si. (1985). Differential Geometry of Statistical Models. In: Differential-Geometrical Methods in Statistics. Lecture Notes in Statistics, vol 28. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5056-2_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-5056-2_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-96056-2

  • Online ISBN: 978-1-4612-5056-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics