288
Views
0
CrossRef citations to date
0
Altmetric
Feature Articles

Sample Size Determination for Credibility Estimation

Pages 485-495 | Published online: 16 Dec 2021
 

Abstract

The credibility estimator has been successfully and widely applied by practitioners in the insurance industry for decades. However, an important issue remains unresolved: What sample size should the actuary choose when he or she applies the credibility estimator? In particular, is the size of a given claims dataset large enough for the credibility estimator to be accurate? This article aims to address this issue by first suggesting a sample size criterion for the credibility estimator and then proposing a sample size based on that. The proposed sample size is easy to apply, and it guarantees provable accuracy for credibility estimation.

This article is referred to by:
Discussion on “Sample Size Determination for Credibility Estimation,” by Liang Hong, Volume 26(4)

ACKNOWLEDGMENTS

Thanks are due to the Editor and two anonymous reviewers for many useful comments and suggestions. I also thank Ryan Martin for a fruitful discussion.

Discussions on this article can be submitted until July 1, 2023. The authors reserve the right to reply to any discussion. Please see the Instructions for Authors found online at http://www.tandfonline.com/uaaj for submission instructions.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 114.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.