Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

The effects of quantized data

The effects of quantized data The effects of quantized data upon parameter estimation are investigated by re‐examining a variety of simple and complicated risk models previously studied by the author. In spite of this unifying theme, no general principles arise, except for demonstrating that estimation in models with two or more parameters can lead to unpredictable results, with or without the introduction to discrete data. In fact, certain common actuarial models are shown always to have poor estimation properties, even using substantial amounts of continuous data The paper concludes with a plea for the redevelopment of classical models that are continuous in nature, rather than perpetuating the current discrete multi‐parameter models, whose estimation properties are poor, since modern technology now permits inexpensive capture of all kinds of continuous data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Stochastic Models and Data Analysis Wiley

Loading next page...
 
/lp/wiley/the-effects-of-quantized-data-nVS0vn59ZZ

References (4)

Publisher
Wiley
Copyright
Copyright © 1995 Wiley Subscription Services, Inc., A Wiley Company
ISSN
8755-0024
eISSN
1099-0747
DOI
10.1002/asm.3150110303
Publisher site
See Article on Publisher Site

Abstract

The effects of quantized data upon parameter estimation are investigated by re‐examining a variety of simple and complicated risk models previously studied by the author. In spite of this unifying theme, no general principles arise, except for demonstrating that estimation in models with two or more parameters can lead to unpredictable results, with or without the introduction to discrete data. In fact, certain common actuarial models are shown always to have poor estimation properties, even using substantial amounts of continuous data The paper concludes with a plea for the redevelopment of classical models that are continuous in nature, rather than perpetuating the current discrete multi‐parameter models, whose estimation properties are poor, since modern technology now permits inexpensive capture of all kinds of continuous data.

Journal

Applied Stochastic Models and Data AnalysisWiley

Published: Sep 1, 1995

Keywords: ;

There are no references for this article.