Approximate studentization for Pareto distribution with application to censored data
โ Scribed by A. Wong
- Publisher
- Springer-Verlag
- Year
- 1998
- Tongue
- English
- Weight
- 412 KB
- Volume
- 39
- Category
- Article
- ISSN
- 0932-5026
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
The iterative convex minorant (ICM) algorithm (Groeneboom and Wellner, 1992) is widely believed to be much faster than the EM algorithm (Turnbull, 1976) in computing the NPMLE of the distribution function for interval censored data. Our formulation of the ICM helps to explore its connection with the
Interest often centres on the comparison of failure time distributions based on interval-censored failure time data such as in the work by Finkelstein, in which she proposed a score test under continuous proportional hazards model. In this article, we consider a different situation in which the unde
Motivated by regression analysis of censored survival data, we develop herein a general asymptotic distribution theory for estimators defined by estimating equations of the form \(\sum_{i=1}^{n} \xi\left(w_{i}, \theta, \hat{G}_{n}\right)=0\), in which \(w_{i}\) represents observed data, \(\theta\) i