We derive a non-parametric maximum likelihood estimator for bivariate interval censored data using standard techniques for constrained convex optimization. Our approach extends those taken for univariate interval censored data. We illustrate the estimator with bivariate data from an AIDS study.
Non-parametric maximum likelihood estimators for disease mapping
✍ Scribed by Annibale Biggeri; Marco Marchi; Corrado Lagazio; Marco Martuzzi; Dankmar Böhning
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 383 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0277-6715
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