Skip to main content

Part of the book series: Lecture Notes in Statistics ((LNS,volume 13))

  • 348 Accesses

Abstract

Let β be an arbitrary family of p-measures on a measurable space (X,A) and κ : β → IRk a functional. By an estimator for κ for the sample size n we mean a measurable map κn : Xn → IRk. The goal of this chapter is to obtain standards for the evaluation of particular estimators by providing bounds for the concentration of estimators (with certain properties). This program can be carried through with success if the sample size is large.

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 16.99
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

© 1982 Springer-Verlag, New York Inc.

About this chapter

Cite this chapter

Pfanzagl, J. (1982). Asymptotic Bounds for the Concentration of Estimators. In: Contributions to a General Asymptotic Statistical Theory. Lecture Notes in Statistics, vol 13. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5769-1_10

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-5769-1_10

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-90776-5

  • Online ISBN: 978-1-4612-5769-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics