Skip to main content

Uniform Approximation in Statistical Sense by Bivariate Gauss-Weierstrass Singular Integral Operators

  • Chapter
Towards Intelligent Modeling: Statistical Approximation Theory

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 14))

  • 697 Accesses

Abstract

In this chapter, we study the statistical approximation properties of a sequence of bivariate smooth Gauss-Weierstrass singular integral operators which are not positive in general. We also show that the statistical approximation results are stronger than the classical uniform approximations. This chapter relies on [28].

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 84.99
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.

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Anastassiou, G.A., Duman, O. (2011). Uniform Approximation in Statistical Sense by Bivariate Gauss-Weierstrass Singular Integral Operators. In: Towards Intelligent Modeling: Statistical Approximation Theory. Intelligent Systems Reference Library, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19826-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-19826-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19825-0

  • Online ISBN: 978-3-642-19826-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics