Estimating Dependent Life Lengths, with Applications to the Theory of Competing Risks
Abstract
In the classical theory of competing risks (as well as in many reliability models and incomplete data problems) it is assumed that the risks (i.e., the random variables of interest) are independent and that death does not result from simultaneous causes. Employing the probabilistic solution to a related problem in probability modelling, strongly consistent estimators are obtained for the unobservable marginal distributions of interest. These estimators are appropriate when the assumptions of independence and no simultaneous causes of death fail to hold. These methods can be used to unify and simplify the nonparametric approach toward estimation in the competing risks model.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 1977
- Accession Number
- ADA050970
Entities
People
- A. J. Quinzi
- Frank Proschan
- N. Langberg
Organizations
- Florida State University